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Current spec 2026-07-28

ai·rete·rag

Earlier Revision Publisher unverified Confidence: Good (0.85)

ai·rete·rag is an MCP server published by ai-rete-rag.com, verified on MCP revision 2025-11-25; support for the current revision (2026-07-28) is not yet confirmed. Last verified 2026-08-25.

Does ai·rete·rag support the current MCP specification (2026-07-28)?

Not yet confirmed. ai·rete·rag is verified on revision 2025-11-25; we have not confirmed support for the current revision (2026-07-28) as of 2026-08-25.

Is ai·rete·rag a first-party (official) MCP server?

Undetermined. We have not verified the publisher relationship for ai·rete·rag (as of 2026-08-25).

How do I connect to ai·rete·rag?

ai·rete·rag is available via a hosted remote endpoint at https://ai-rete-rag.com/mcp, the package pypi:ai-rete-rag-mcp, the official MCP Registry under com.ai-rete-rag/ai-rete-rag-mcp, the source repository at https://github.com/zaharajabeen13-create/ai-rete-rag-mcp. Authentication: none. Transports: sse-legacy.

What tools does ai·rete·rag expose?

ai·rete·rag exposes 8 tools, including decide, list_rules, ingest_text, list_documents, get_rule_source, put_rules (last verified 2026-08-25).

Does ai·rete·rag support MCP revision 2025-11-25?

Yes. ai·rete·rag supports MCP revision 2025-11-25 (checked 2026-08-25).

When were ai·rete·rag's facts last verified?

2026-08-25. Each fact on this page links to the sources used to verify it.

Which tools does ai·rete·rag expose?

8 tools verified.

  • decide
  • list_rules
  • ingest_text
  • list_documents
  • get_rule_source
  • put_rules
  • import_policy_rules
  • get_usage

Author rules from policy docs, then decide: a Rete engine gives the verdict, an LLM explains why.

Which MCP spec revisions does ai·rete·rag support?

ai·rete·rag has 1 verified spec-support record. Each row lists the revision, the verified status, the evidence URL, and the date that fact was last checked.

Spec revision Status Last checked Evidence
MCP 2025-11-25 Supported Source

How widely adopted is ai·rete·rag?

Not ranked in The MCP 500: insufficient public data (coverage floor not met) (snapshot ). The Adoption Index measures public signals only; it says nothing about quality.

Repository and package signals for ai·rete·rag

Measured directly from the source registries, not asserted from a document. Each figure carries the date it was read; none of it affects the verified spec status above.

Repository as of

Stars
0
Forks
0
Last pushed
(40 days ago)
Created
Open issues
1
Primary language
Python
License (repository)
MIT
Continuous integration
None detected
Tests
Present
Security policy
None

Package (pypi) as of

Latest version
0.7.0
Last published
First published
Releases
11
License (package)
MIT
Direct dependencies
4
Unpacked size
23 KB
Registry signature
Not measured
Build provenance
No attestation

How was this verified, and what are the sources?

Verified · method: endpoint-probe · confidence 0.85 (Good).

  1. Official MCP Registry record for com.ai-rete-rag/ai-rete-rag-mcp at version 0.6.1 - lists remote endpoint https://ai-rete-rag.com/mcp and repository https://github.com/zaharajabeen13-create/ai-rete-rag-mcp - accessed
  2. Endpoint probe of https://ai-rete-rag.com/mcp - declined server/discover; negotiated 2025-11-25 via the legacy initialize handshake; tools/list returned 8 tools - accessed
  3. Endpoint probe of https://ai-rete-rag.com/mcp - declined server/discover; negotiated 2025-11-25 via the legacy initialize handshake; tools/list returned 8 tools - accessed
  4. Endpoint probe of https://ai-rete-rag.com/mcp - declined server/discover; negotiated 2025-11-25 via the legacy initialize handshake; tools/list returned 8 tools - accessed