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Alternatives to MuleSoft Agent Fabric

MuleSoft Agent Fabric

Control plane for agents, MCP servers, and APIs across platforms

Summary

MuleSoft Agent Fabric is a control plane for agents, MCP servers, and APIs across platforms.⁠Source 1 Its scanners register agents found on supported platforms, and Omni Gateway enforces policy in the request path of each managed agent.⁠Source 2

By Blocks.ai teamLast checked

Where MuleSoft Agent Fabric sits

Six layers of running AI agents at a company, and what MuleSoft Agent Fabric’s own public sources say it covers. Each alternative below gets the same six layers as a strip.

Public sources · checked 2 October 2026
  • Offered
  • Not publicly documented

MuleSoft Agent Fabric

  • Build agents: OfferedAgent brokers in Agent Script⁠Source 2
  • Host and run agents: OfferedAgent brokers on CloudHub 2.0⁠Source 2
  • Identity and access: OfferedOmni Gateway authentication and authorization⁠Source 2
  • Registry and governance: OfferedAgent Registry in Anypoint Exchange⁠Source 2
  • Traffic between agents, tools, and models: OfferedOmni Gateway in request path⁠Source 2
  • Agents across organizations: Not publicly documented

How to read the strips

  1. 01Build agents
  2. 02Host and run agents
  3. 03Identity and access
  4. 04Registry and governance
  5. 05Traffic between agents, tools, and models
  6. 06Agents across organizations
  • Offered
  • Preview
  • You build it
  • Not included
  • Not publicly documented

Agent control planes

4 alternatives

The group MuleSoft Agent Fabric sits in, so listed first.

  • Blocks.ai

    Network for AI agents: a free public network, and a private network for each company

    Where it sits⁠Source 3, Source 4, Source 5, Source 6, Source 7

    1. Build agents: Not included, Use LangChain or CrewAI
    2. Host and run agents: Not included, You run your agent
    3. Identity and access: Offered, Machine identity per agent
    4. Registry and governance: Offered, Private registry and Admin Console
    5. Traffic between agents, tools, and models: Offered, Private network for every agent
    6. Agents across organizations: Offered, Partners share only chosen agents

    Blocks.ai is a network: a free public network, and a private network for each company.⁠Source 6, Source 8 Blocks.ai doesn’t build or host agents, and doesn’t orchestrate them.⁠Source 3, Source 4

    Blocks.ai vs MuleSoft Agent Fabric

  • Microsoft Agent 365

    Microsoft 365 control plane to discover, manage, govern, and secure AI agents

    Where it sits⁠Source 9, Source 10, Source 11, Source 12, Source 13

    1. Build agents: Not included, Use your chosen framework
    2. Host and run agents: Not included, You host your agent
    3. Identity and access: Offered, Entra Agent ID
    4. Registry and governance: Offered, Agent registry in admin center
    5. Traffic between agents, tools, and models: Preview, Tooling Gateway for MCP servers
    6. Agents across organizations: Not publicly documented

    A Microsoft 365 service, licensed per user, that keeps agent identities in Microsoft Entra.⁠Source 11, Source 14, Source 15 Its registry covers Microsoft and non-Microsoft agents; registry sync from platforms such as Amazon Bedrock is in preview.⁠Source 16, Source 17

    Microsoft Agent 365 vs MuleSoft Agent Fabric

  • ServiceNow AI Control Tower

    What ServiceNow calls a central hub to discover, secure, govern, observe, and measure AI

    Where it sits⁠Source 18, Source 19, Source 20

    1. Build agents: Not publicly documented
    2. Host and run agents: Not publicly documented
    3. Identity and access: Offered, Scoped OAuth tokens (community docs)
    4. Registry and governance: Offered, AI inventory tied to CMDB
    5. Traffic between agents, tools, and models: Offered, AI Gateway (community docs)
    6. Agents across organizations: Not publicly documented

    ServiceNow describes it as a central hub to discover, secure, govern, observe, and measure AI.⁠Source 19 Its kill switch can contain a managed agent and revoke all of its active credentials across connected systems.⁠Source 21, Source 22

    MuleSoft Agent Fabric vs ServiceNow AI Control Tower

  • Workday Agent System of Record

    Workday system of record to find, add, register, configure, monitor, and manage AI agents

    Where it sits⁠Source 23, Source 24, Source 25

    1. Build agents: Not publicly documented
    2. Host and run agents: Not publicly documented
    3. Identity and access: Offered, Agent System User per agent
    4. Registry and governance: Offered, Agent Registry in Management Hub
    5. Traffic between agents, tools, and models: Offered, Agent Gateway for Workday APIs
    6. Agents across organizations: Not publicly documented

    A function set up in each Workday tenant to register and manage agents; each agent’s permissions come from Workday security policies and groups.⁠Source 24, Source 26, Source 27 External agents are currently registered only through the ASOR API.⁠Source 28

    MuleSoft Agent Fabric vs Workday Agent System of Record

Gateways, identity, and security

4 alternatives

  • Cloudflare MCP server portals

    Cloudflare One feature that puts MCP servers behind one governed endpoint

    Where it sits⁠Source 29

    1. Build agents: Not publicly documented
    2. Host and run agents: Not publicly documented
    3. Identity and access: Offered, Identity provider or service token
    4. Registry and governance: Offered, Centrally managed MCP servers
    5. Traffic between agents, tools, and models: Offered, Proxy for MCP tool calls
    6. Agents across organizations: Not publicly documented

    A portal that puts several MCP servers behind one endpoint; admins can choose which tools each portal exposes, and Access policies decide who connects.⁠Source 29 Agent Fabric’s registry lists agents, MCP servers, and APIs.⁠Source 2

    Cloudflare MCP server portals vs MuleSoft Agent Fabric

  • Kong AI Gateway

    Gateway that governs LLM, MCP, and agent-to-agent traffic

    Where it sits⁠Source 30, Source 31, Source 32

    1. Build agents: Not publicly documented
    2. Host and run agents: Not publicly documented
    3. Identity and access: Offered, Per-agent allow or deny lists
    4. Registry and governance: Preview, Konnect Catalog agents
    5. Traffic between agents, tools, and models: Offered, Gateway for LLM, MCP, A2A
    6. Agents across organizations: Not publicly documented

    A gateway for LLM, MCP, and A2A traffic that proxies to each agent at its own URL.⁠Source 30, Source 33 Kong’s organization-wide agent inventory, in Konnect Catalog, is in beta and not for production use.⁠Source 31

    Kong AI Gateway vs MuleSoft Agent Fabric

  • Okta for AI Agents

    Okta offering that gives AI agents a first-class identity so organizations can discover, onboard, protect, and govern them

    Where it sits⁠Source 34, Source 35, Source 36

    1. Build agents: Not publicly documented
    2. Host and run agents: Not publicly documented
    3. Identity and access: Offered, Agent identity and credentials
    4. Registry and governance: Offered, Universal Directory with human owners
    5. Traffic between agents, tools, and models: Preview, Agent Gateway for MCP tools
    6. Agents across organizations: Not publicly documented

    Okta says it gives AI agents a first-class identity.⁠Source 37 For agent-to-agent calls, Okta issues tokens scoped to one resource that expire automatically, checking its rules on every token request.⁠Source 38

    MuleSoft Agent Fabric vs Okta for AI Agents

  • Zenity AI Agent Security & Governance Platform

    Security and governance platform for AI agents, aimed at security teams

    Where it sits⁠Source 39, Source 40

    1. Build agents: Not publicly documented
    2. Host and run agents: Not publicly documented
    3. Identity and access: Not publicly documented
    4. Registry and governance: Offered, AI Observability agent inventory
    5. Traffic between agents, tools, and models: Offered, Tool-call blocking for coding agents
    6. Agents across organizations: Not publicly documented

    A security and governance platform that Zenity aims at security teams.⁠Source 41, Source 42 It says it scans for agents, including ones on laptops, and its Runtime Boundaries can check agent actions against your rules in real time.⁠Source 39, Source 43

    MuleSoft Agent Fabric vs Zenity

Platforms to build and run agents

6 alternatives

  • Amazon Bedrock AgentCore

    AWS platform for building, deploying, and operating AI agents

    Where it sits⁠Source 44, Source 45, Source 46, Source 47, Source 48

    1. Build agents: Offered, Harness managed agent loop
    2. Host and run agents: Offered, AgentCore Runtime
    3. Identity and access: Offered, AgentCore Identity workload identities
    4. Registry and governance: Offered, AWS Agent Registry with approvals
    5. Traffic between agents, tools, and models: Offered, AgentCore Gateway
    6. Agents across organizations: Offered, Registry shared through AWS RAM

    An AWS platform for building, deploying, and operating agents; AgentCore Runtime hosts them in a serverless environment.⁠Source 44 Pricing is by use, with no minimum fee.⁠Source 49

    Amazon Bedrock AgentCore vs MuleSoft Agent Fabric

  • CrewAI AMP

    Platform for deploying, monitoring, and scaling CrewAI crews and agents

    Where it sits⁠Source 50, Source 51, Source 52, Source 53, Source 54, Source 55

    1. Build agents: Offered, Crew Studio visual editor
    2. Host and run agents: Offered, Managed infrastructure for crews
    3. Identity and access: Offered, Per-deployment allow lists
    4. Registry and governance: Offered, Agent Repositories
    5. Traffic between agents, tools, and models: Offered, Custom MCP server connections
    6. Agents across organizations: Preview, Public A2A agents

    A platform for deploying, monitoring, and scaling CrewAI crews and flows.⁠Source 51, Source 56 Crews are built in code or in Crew Studio and run on managed infrastructure; the Enterprise plan can also run in your own VPC.⁠Source 51, Source 57

    CrewAI AMP vs MuleSoft Agent Fabric

  • Gemini Enterprise Agent Platform

    Google Cloud platform to build, deploy, govern, and optimize AI agents

    Where it sits⁠Source 58, Source 59, Source 60, Source 61

    1. Build agents: Offered, Agent Studio low-code canvas
    2. Host and run agents: Offered, Agent Runtime
    3. Identity and access: Offered, SPIFFE-based Agent Identity
    4. Registry and governance: Offered, Agent Registry
    5. Traffic between agents, tools, and models: Offered, Agent Gateway
    6. Agents across organizations: Offered, Gateway calls to outside agents

    Google Cloud’s platform to build, deploy, and govern agents; they can be designed in Agent Studio and run on Agent Runtime, billed by vCPU-hour and memory.⁠Source 58, Source 59, Source 62, Source 63

    Gemini Enterprise Agent Platform vs MuleSoft Agent Fabric

  • IBM watsonx Orchestrate

    Agent management platform to build, deploy, orchestrate, and govern AI agents

    Where it sits⁠Source 64, Source 65, Source 66, Source 67, Source 68

    1. Build agents: Offered, Visual builder and ADK
    2. Host and run agents: Offered, Agents run on watsonx Orchestrate
    3. Identity and access: Preview, Agent identity
    4. Registry and governance: Offered, Agentic Control Plane
    5. Traffic between agents, tools, and models: Offered, A2A calls to agent endpoints
    6. Agents across organizations: Offered, Partner A2A agents in catalog

    IBM calls it an agent management platform to build, deploy, orchestrate, and govern agents, offered as managed SaaS or on premises.⁠Source 69, Source 70

    IBM watsonx Orchestrate vs MuleSoft Agent Fabric

  • LangSmith

    Platform for observing, evaluating, and deploying agents

    Where it sits⁠Source 71, Source 72, Source 73, Source 74, Source 75

    1. Build agents: Offered, Fleet agent builder
    2. Host and run agents: Offered, LangSmith Deployment runtime
    3. Identity and access: Offered, Fleet per-agent permissions
    4. Registry and governance: Offered, Centralized registry in Deployment
    5. Traffic between agents, tools, and models: Offered, Fleet forwards MCP tool calls
    6. Agents across organizations: Not publicly documented

    LangChain describes it as a platform for observing, evaluating, and deploying agents.⁠Source 76 Fleet builds agents without code, and LangSmith Deployment runs agents on Plus or above.⁠Source 71, Source 72 Agent Fabric’s scanners can register agents from LangSmith.⁠Source 77

    LangSmith vs MuleSoft Agent Fabric

  • n8n

    Platform for AI agents and workflows you can see and control, built visually or with code

    Where it sits⁠Source 78, Source 79, Source 80, Source 81

    1. Build agents: Offered, LangChain-based AI Agent node
    2. Host and run agents: Offered, Your infrastructure or n8n’s
    3. Identity and access: Not publicly documented
    4. Registry and governance: Preview, Agents stored in projects
    5. Traffic between agents, tools, and models: Offered, MCP client for external tools
    6. Agents across organizations: Not publicly documented

    n8n says you build AI agents and workflows in it, visually or with code, on n8n Cloud or self-hosted.⁠Source 79, Source 82 Self-hosted, its Community edition is free.⁠Source 83 Agent Fabric’s scanners register agents found on supported platforms.⁠Source 2

    MuleSoft Agent Fabric vs n8n

Build it yourself

1 alternative

Not a product: your own team assembles the pieces.

  • Build it yourself (DIY)

    Building agent connections and controls in-house from open protocols, existing infrastructure, and open-source tools

    Where it sits⁠Source 84, Source 85, Source 86, Source 87, Source 88, Source 89

    1. Build agents: You build it, Open-source frameworks like ADK
    2. Host and run agents: You build it, Self-hosted, like LangGraph
    3. Identity and access: You build it, Your own identity provider
    4. Registry and governance: You build it, Your own agent registry
    5. Traffic between agents, tools, and models: You build it, Your gateway and service mesh
    6. Agents across organizations: You build it, A2A with API management

    Your team governs agents on open protocols such as A2A, which prescribes no standard API for curated registries and leaves authorization logic to each implementation.⁠Source 87, Source 90 Uber says it built its own MCP registry and gateway.⁠Source 88

    DIY vs MuleSoft Agent Fabric

Questions buyers ask

Does MuleSoft Agent Fabric keep a registry of every agent?

Agent Registry is a single inventory of agents, MCP servers, and APIs, whichever platform built them.⁠Source 2 Scanners register what they find on supported platforms, at most once a day; other agents can be registered by hand from an agent card file, without a connection check.⁠Source 2, Source 91, Source 92

How is MuleSoft Agent Fabric priced?

MuleSoft packages start at $2,000 a month, billed annually, with usage metered in Mule Credits.⁠Source 93, Source 94 MuleSoft lists its Agent Fabric package with “Contact sales” and no published price.⁠Source 93 MuleSoft’s 30-day free trial includes the full portfolio; whether that covers Agent Fabric isn’t publicly documented.⁠Source 93

Can MuleSoft Agent Fabric manage agents built elsewhere?

MuleSoft says Agent Fabric lets you apply control to agents whoever built them and wherever they run, without rebuilding or instrumenting them.⁠Source 95 Its brokers orchestrate only A2A-compliant agents; an A2A bridge presents Agentforce agents as compliant, and one for Microsoft Copilot Studio is planned.⁠Source 1, Source 2, Source 96

How we compare

Read the full method

Every claim on this page links to a public source. Where none answers a question, the page says so.

We re-check every fact at least every 90 days. This page was last checked .

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Sources

99 public sources, each with the date we checked it. Every one opens in a new tab.

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  2. Source 2: Agent Fabric Overview Salesforce · checked Back:abcdefghijk

  3. Source 3: Why Blocks? Blocks.ai · checked Back:ab

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  6. Source 6: Your company's private network Blocks.ai · checked Back:abc

  7. Source 7: Joining a Blocks network Blocks.ai · checked Back to text

  8. Source 8: Pricing Blocks.ai · checked Back:ab

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  10. Source 10: Microsoft Agent 365 SDK overview | Microsoft Learn Microsoft · checked Back to text

  11. Source 11: Agent 365 identity | Microsoft Learn Microsoft · checked Back:ab

  12. Source 12: Agent Registry in Microsoft 365 admin center - Microsoft 365 admin | Microsoft Learn Microsoft · checked Back to text

  13. Source 13: Bring your own (BYO) MCP server in Microsoft 365 admin center - Microsoft 365 admin | Microsoft Learn Microsoft · checked Back to text

  14. Source 14: Microsoft Agent 365 - Service Descriptions | Microsoft Learn Microsoft · checked Back to text

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  16. Source 16: Agent Registry convergence with Microsoft Agent 365 | Microsoft Learn Microsoft · checked Back to text

  17. Source 17: Choose an Agent 365 Integration Option | Microsoft Learn Microsoft · checked Back to text

  18. Source 18: What's new in AI Gateway v3.4 - September 2026 release (ServiceNow Community, AI Control Tower articles) ServiceNow · checked Back to text

  19. Source 19: AI Control Tower - ServiceNow (product page) ServiceNow · checked Back:ab

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  23. Source 23: Concept: Agent Security (Workday Administrator Guide) Workday · checked Back to text

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  25. Source 25: Concept: Workday Agent Gateway (Workday Administrator Guide) Workday · checked Back to text

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  36. Source 36: Agent Gateway (Okta Help Center) Okta · checked Back to text

  37. Source 37: Okta brings first-class identity to AI agents with Agent SSO Okta · checked Back to text

  38. Source 38: Agent-to-agent connections (Okta Help Center) Okta · checked Back to text

  39. Source 39: AI Observability | See Every Agent, Know What it Touches | Zenity Zenity · checked Back:ab

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  43. Source 43: Runtime Boundaries | The Runtime Boundary for Autonomous AI | Zenity Zenity · checked Back to text

  44. Source 44: Overview - Amazon Bedrock AgentCore (Developer Guide) AWS · checked Back:ab

  45. Source 45: Provide identity and credential management for agent applications with Amazon Bedrock AgentCore Identity AWS · checked Back to text

  46. Source 46: AWS Agent Registry: Discover and manage agents, tools, and resources AWS · checked Back to text

  47. Source 47: HTTP passthrough targets - AgentCore Gateway AWS · checked Back to text

  48. Source 48: Sharing a registry across accounts with AWS RAM AWS · checked Back to text

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  50. Source 50: Crew Studio CrewAI · checked Back to text

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  52. Source 52: Role-Based Access Control (RBAC) CrewAI · checked Back to text

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  54. Source 54: Custom MCP Servers CrewAI · checked Back to text

  55. Source 55: A2A on AMP CrewAI · checked Back to text

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  97. Source 97: Network requirements Blocks.ai · checked Back to text

  98. Source 98: Solutions: Agent sprawl Blocks.ai · checked Back to text

  99. Source 99: Solutions: Partner networks Blocks.ai · checked Back to text