Candlekeep (BansheeEmperor/candlekeep) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. It declares 14 tools. No publisher has claimed this listing.

Back to MCP Trust IndexM8ven
C
Emerging
74/100

Candlekeep

A RAG knowledge base server that enables AI agents to search, retrieve, and manage technical documentation through the Model Context Protocol.

→ BansheeEmperor/candlekeep· listed on glama

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.

How we verified

Code Verified⚡ Live Monitored: not connected

Verified is a snapshot. Live keeps it current, and builds your track record.

⚡ Connect GitHub → continuous verification on every pushwhy connect →

Who stands behind it

BansheeEmperor

Source: Glama

Is this your MCP?

Claim it to get a verified publisher badge, a free copy of our full audit findings, and direct contact for any high-priority issues we find. Or connect your repo for our deepest verification, Live Monitored: read-only, revoke anytime. What we access →

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Install from

Glamanot scored here

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.

// key findings
🚨
Secret credentials may flow to a network call
4 flows detected: CHROMA_AUTH_TOKEN. We can’t prove the destination matches the brand the credential belongs to.
🔐
You'll be asked for 4 credentials: GEMINI_API_TOKEN, CHROMA_AUTH_TOKEN, GOOGLE_API_KEY, CANDLEKEEP_MCP_TOKEN
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// environment variables
To run this server yourself, you supply these values. They go in your own MCP client configuration and stay on your machine. The secret label means the value is sensitive, not that the server mishandles it.
configCANDLEKEEP_LOGGED
configCANDLEKEEP_GRAPH_AUGMENT
configCANDLEKEEP_CAPTION_BOOST
configCANDLEKEEP_CAPTION_BOOST_ADAPTIVE
configCANDLEKEEP_DEVICE
configTRANSFORMERS_VERBOSITY
configTOKENIZERS_PARALLELISM
configAWS_PROFILE
configAWS_REGION
configHOTPOT_PROVIDER
configBEDROCK_JUDGE_MODEL
configBEDROCK_GEN_MODEL
configOPENAI_MODEL
configGEMINI_MODEL
configCANDLEKEEP_MIN_COOCCURRENCE
configCANDLEKEEP_USE_MKNN
configCANDLEKEEP_USE_ORPHAN_GROUNDING
configCANDLEKEEP_USE_CLUSTERING
configCANDLEKEEP_ALIAS_LINKER
configCANDLEKEEP_NO_RECALL
configCANDLEKEEP_DATA_DIR
🔐 secretGEMINI_API_TOKEN
configGEMINI_GEN_MODEL
configCHROMA_URL
🔐 secretCHROMA_AUTH_TOKENAccess to write tools is managed by your database permissions (configured via ).
configCANDLEKEEP_VLM_PROVIDER
configCANDLEKEEP_LLM_PROVIDER
🔐 secretGOOGLE_API_KEY
configCANDLEKEEP_VERSION
configCANDLEKEEP_CI
configXDG_DATA_HOME
configCANDLEKEEP_EMBEDDING
configCANDLEKEEP_EMBEDDING_CACHE_SIZE
configCANDLEKEEP_CHUNK_SIZE
configCANDLEKEEP_CHUNK_OVERLAP
configCANDLEKEEP_SPICE
configCANDLEKEEP_BARDIC_KNOWLEDGE
configCANDLEKEEP_SPARSE_BACKEND
configCANDLEKEEP_TRANSPORT
configCANDLEKEEP_HTTP_HOST
configCANDLEKEEP_HTTP_PORT
🔐 secretCANDLEKEEP_MCP_TOKEN
configCANDLEKEEP_RATE_LIMIT_SEARCH
configCANDLEKEEP_RATE_LIMIT_WRITE
configCANDLEKEEP_RATE_LIMIT_WINDOW
configCANDLEKEEP_VLM_CONCURRENCY
configCANDLEKEEP_VLM_MAX_COST_PER_DOC
configCANDLEKEEP_VLM_FETCH_REMOTE_IMAGES
configCANDLEKEEP_VLM_PDF_MAX_PAGES
// quality suggestions

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

14/14 tools missing one or more hints — search (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); list_documents (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_stats (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +11 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.

Tool test coverage

9/14 tools referenced in tests (64%)

Write tests that reference each tool by name so every tool has at least one test.

Claim the listing to review these findings one by one and send us a correction where you disagree, straight to the team. Claiming also means we tell you when the grade moves, and reach you first if we find anything urgent.

// full audit trail
The findings above are the summary. The full trail, every check we ran, each deduction, the network hosts observed and the dependency advisories, goes to verified publishers, along with an alert whenever a new one lands. Verified publishers can also review each finding and dispute it in one click. Publisher corrections have sharpened several of our checks this month, because the maintainer knows the codebase better than any scanner.
// improvement guidance — verified publishers only
We have 3 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/bansheeemperor/candlekeep)](https://m8ven.ai/mcp/bansheeemperor/candlekeep)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: d1d63d067bc7dfe8d91681e3292c55a5dac5e67f
code hash: 7f5ddd79779e5b55edc36d55a3d192f80fa849bf04ea6147402d0e1e828fc050
view raw JSON →
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