Metorial
Also known as: Metorial Connect, Metorial Platform
Open source MCP integration platform and access control plane that connects any AI model to 1,000+ tools with serverless hosting, unified auth, RBAC, and audit logs.
Metorial is an open source MCP integration platform, or control plane, for agent access to external systems. It sits between agents and integrations and standardizes authentication, permissions, and observability so teams stop wiring integrations ad hoc. Developers connect an AI model to more than 1,000 verified integrations with a single function call or a single Magic MCP URL, and Metorial handles OAuth and token lifecycle, RBAC, SAML SSO, and IAM, scoped permissions per agent and environment, and audit logs recording which agent acted with whose credentials. Its serverless hibernation technology starts MCP servers in under a second and stops them when idle, so hosted usage is billed per request rather than for idle connections, and the open source core can be self hosted via Docker or Kubernetes. It ships Python and TypeScript SDKs, full API access, a dashboard with an embedded MCP Explorer for testing servers, and a skills layer for defining what agents can do. Founded in 2025 and part of Y Combinator's Fall 2025 batch.
Vendor details
Canonical URL
https://metorial.com
Category
Agent infrastructure
Funding status
Pre-Seed (Y Combinator F25)
Company status
private
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
More than 1,000 verified integrations across SaaS, enterprise systems, and data sources plus a catalog of 5,000+ MCP servers; connect any AI model through a single Magic MCP URL or Python and TypeScript SDKs, with framework adapters for OpenAI, Anthropic, and PydanticAI.
Sources & related URLs
Agentic Index coverage score
8.5 / 14 capabilities · 61%
| Integrations & Tool Calling1,000+ verified integrations with tool calling to any API, data source, or tool via MCP; the core product (github.com/metorial, metorial.com) | Full |
|---|---|
| Workflow Orchestrationa skills layer defines workloads and composes tools, but agent workflow orchestration is left to the agent framework (metorial.com) | Partial |
| Knowledge Grounding & RAGa connectivity layer that gives agents access to data sources, with no RAG or knowledge base of its own (metorial.com) | Unable to verify |
| Human Oversight & Guardrailsaccess groups and policies decide which tools appear for each person, and people can request more when needed (metorial.com) | Partial |
| Security, Identity & GovernanceRBAC, SAML SSO, IAM, scoped credentials, per user isolation, and audit of which agent acted with whose credentials (github.com/metorial) | Full |
| Observability & Auditabilityaudit logs, tracing, monitoring, a debugging dashboard, and an embedded MCP Explorer, full observability out of the box (github.com/metorial, Product Hunt) | Full |
| Memory & State Persistencea stateless connectivity layer, with no agent memory system documented (metorial.com) | Unable to verify |
| Deployment & Data Residencyhosted platform or self hosted open source core via Docker or Kubernetes (github.com/metorial-platform) | Full |
| Prebuilt Agents / Templates / Packs1,000+ prebuilt integrations, a catalog of 5,000+ MCP servers, prebuilt MCP containers, and reusable skills (github.com/metorial-platform) | Full |
| Triggers & Channel Coveragelistens for events with external providers and forwards them via webhooks (metorial.com enterprise) | Partial |
| Model Flexibility & Routingmodel agnostic and reusable across Claude, ChatGPT, and Copilot with provider adapters for OpenAI, Anthropic, and PydanticAI; no routing feature (metorial.com, PyPI) | Partial |
| APIs / SDKs / MCP ExtensibilityPython and TypeScript SDKs, full API access, MCP native, and custom or forkable MCP servers (github.com/metorial-platform, PyPI) | Full |
| Testing, Debugging & Optimizationembedded MCP Explorer for testing and deep debugging of MCP servers; not an agent eval framework (github.com/metorial-platform, Product Hunt) | Partial |
| Browser / Computer-useintegration infrastructure with no browser or computer use capability (metorial.com) | Unable to verify |
The Agentic Index coverage score grades every vendor Full, Partial or Unable to verify against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Pricing
Free to start; usage based per request
Usage based per request for the hosted platform, or self hosted on your own infrastructure; enterprise controls on higher tiers.
Cost watchouts
Per request billing can grow with high agent tool call volume; self hosting trades license cost for infrastructure and maintenance.
Variable cost rationale
Hosted pricing is usage based per request (execution time and memory), so cost tracks agent tool call volume directly; self hosting the open source core shifts cost to infrastructure instead.
Sales call required
No, self serve available
Free / trial
Free to start; open source core is self hostable at no license cost.
Lowest paid plan
Usage based, free to start; exact per request rates not retrieved this session.
Key ambiguities
Pricing is usage based per request with a free start; exact per request rates were not retrieved this session. Some third party directories cite security certifications (SOC 2, HIPAA) not confirmed on Metorial's own sources.
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Alternatives to Metorial
The closest documented capability profiles to Metorial among agent infrastructure platforms tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- Arcade8.0 / 14A lighter documented profile than Metorial
- Kong9.5 / 14Adds documented Knowledge Grounding & RAG
- LangSmith9.0 / 14Adds documented Memory & State Persistence
- Traceloop9.0 / 14Adds documented Memory & State Persistence
- Arize AI7.5 / 14Fuller documented coverage on Testing, Debugging & Optimization
- Gentoro6.5 / 14A lighter documented profile than Metorial
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded