Veda MCP (tman7162-star/veda-mcp) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. It declares 12 tools. No publisher has claimed this listing.
Enables AI apps to read Veda Knowledge Packs, offering source-aware context and tools for guided pack interaction.
Emerging. No concerning findings. Grades remain capped until the project builds reputation through adoption. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.
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The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.
These names and descriptions are the publisher's own, read from the source code. We print them as written. Our assessment is the findings above, not this list.
get_veda_mcp_statusConfirm that this Veda MCP connection is working and return the current MCP version. After installation, call this first and tell the user the returned messageForUser value.
start_veda_sessionStart a guided Veda flow: call, create, or update a Knowledge Pack.
list_packsList Veda Knowledge Packs allowed for this MCP token.
search_packsSearch allowed Veda Knowledge Packs.
attach_pack_to_sessionAttach one Veda Knowledge Pack as the active pack for this AI conversation. After attachment, use it as default evidence for related questions without requiring the user to say 'answer with this pack'.
get_pack_manifestReturn manifest-style structure, index/knowledge group files, and file metadata for one allowed Knowledge Pack.
get_pack_sourcesReturn source list for one allowed Knowledge Pack.
get_answer_policyReturn the answer policy for one allowed Knowledge Pack.
get_pack_context_for_questionReturn source-aware context from an allowed Veda Knowledge Pack for a user question. Use index.json to load only the relevant knowledge/*.jsonl groups.
create_pack_draftCollect material, compile, and save a new private Knowledge Pack draft on Veda using the v1.4 structure: PACK.md, usage-guide.md, index.json, sources.csv, and knowledge/<group_id>.jsonl groups. Publishing stays a human approval step on the web.
update_pack_draftGuide the AI through updating an existing Knowledge Pack.
report_pack_issueReport missing or wrong knowledge for one allowed Knowledge Pack.
VEDA_API_TOKENVEDA_MCP_TOKENmy Veda connection key here>VEDA_MCP_URL"": "https://veda.necelab.net/mcp",VEDA_TIMEOUT_MSno 30000 Request timeout in milliseconds.Tool annotations
No tools have read-only/destructive annotations
Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.
All four hints declared on every tool
12/12 tools missing one or more hints — get_veda_mcp_status (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); start_veda_session (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); list_packs (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +9 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.
For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.
Tests exist
No test files found
Add tests that exercise each declared tool.
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