codexlens (catlog22/codexlens-search) is an MCP server listed on the M8ven Trust Index. It scores 73 out of 100, grade C. It declares 5 tools. No publisher has claimed this listing.

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C
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73/100

codexlens

Semantic code search engine for Claude Code with hybrid search combining vector, FTS, AST graph, and ripgrep regex, with RRF fusion and reranking.

→ catlog22/codexlens-search· listed on glama

Limited view. Automated analysis covers part of this stack. Findings reflect what we verified. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

Limited view: static analysis for Python is partially covered.

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Who stands behind it

catlog22

Source: Glama

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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
✅
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
✅
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
🔐
You'll be asked for 5 credentials: CODEXLENS_EMBED_API_KEY, CODEXLENS_RERANKER_API_KEY, CODEXLENS_LLM_EXPAND_API_KEY, CODEXLENS_AGENT_LLM_API_KEY, OPENAI_API_KEY
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.
configCODEXLENS_AUTO_WATCHfalse Auto-start file watcher after indexing
configCODEXLENS_WATCHER_DEBOUNCE_MS
configCODEXLENS_EMBED_MODEL"": "nomic-ai/nomic-embed-text-v1.5-Q",
configCODEXLENS_MODEL_CACHE_DIRCustom: set
configCODEXLENS_HF_MIRROR"": "https://hf-mirror.com"
configCODEXLENS_EMBED_API_URL"": "https://api.openai.com/v1",
🔐 secretCODEXLENS_EMBED_API_KEY"": "${OPENAI_API_KEY}",
configCODEXLENS_EMBED_API_MODEL"": "text-embedding-3-small",
configCODEXLENS_EMBED_API_ENDPOINTS"": "https://api1.example.com/v1sk-key1model,https://api2.example.com/v1sk-key2model",
configCODEXLENS_EMBED_DIM"": "1536"
configCODEXLENS_EMBED_BATCH_SIZE32 Texts per API batch
configCODEXLENS_EMBED_API_CONCURRENCY
configCODEXLENS_EMBED_API_MAX_TOKENS
configCODEXLENS_EMBED_MAX_TOKENS8192 Max tokens per text (0=no limit)
configCODEXLENS_RERANKER_MODEL
configCODEXLENS_RERANKER_API_URL"": "https://api.jina.ai/v1",
🔐 secretCODEXLENS_RERANKER_API_KEY"": "${JINA_API_KEY}",
configCODEXLENS_RERANKER_API_MODEL"": "jina-reranker-v2-base-multilingual"
configCODEXLENS_RERANKER_TOP_K20 Results to rerank
configCODEXLENS_RERANKER_BATCH_SIZE
configCODEXLENS_BINARY_TOP_K200 Binary coarse search candidates
configCODEXLENS_ANN_TOP_K50 ANN fine search candidates
configCODEXLENS_FTS_TOP_K50 FTS results per method
configCODEXLENS_FUSION_K60 RRF fusion k parameter
configCODEXLENS_AST_CHUNKINGEnabled by default. Disable with =false.
configCODEXLENS_CHUNK_CONTEXT_HEADER
configCODEXLENS_GITIGNORE_FILTERINGtrue Recursive .gitignore filtering
configCODEXLENS_CODE_AWARE_CHUNKING
configCODEXLENS_INDEX_WORKERS2 Parallel indexing workers
configCODEXLENS_MAX_FILE_SIZE1000000 Max file size in bytes
configCODEXLENS_HNSW_EF
configCODEXLENS_HNSW_M
configCODEXLENS_DEVICE"": "directml"
configCODEXLENS_ANN_BACKENDOverride with :
configCODEXLENS_TIER_HOT_HOURS
configCODEXLENS_TIER_COLD_HOURS
configCODEXLENS_SEARCH_QUALITY
configCODEXLENS_NUM_SHARDS
configCODEXLENS_MAX_LOADED_SHARDS
configCODEXLENS_EXPANSION_ENABLEDtrue Two-hop query expansion for NL queries
configCODEXLENS_SYMBOL_SEARCH_ENABLED
configCODEXLENS_ENTITY_GRAPH_ENABLED
configCODEXLENS_LLM_EXPAND_ENABLEDfalse Enable LLM expansion globally for search_files
configCODEXLENS_LLM_EXPAND_MODEL"": "glm-5-turbo",
🔐 secretCODEXLENS_LLM_EXPAND_API_KEY"": "${GLM_API_KEY}",
configCODEXLENS_LLM_EXPAND_API_BASE"": "https://open.bigmodel.cn/api/paas/v4/"
🔐 secretCODEXLENS_AGENT_LLM_API_KEY
configCODEXLENS_AGENT_LLM_API_BASE
configCODEXLENS_AGENT_LLM_MODEL
configCODEXLENS_AGENT_ENABLED
configCODEXLENS_AGENT_MAX_ITERATIONS
configCODEXLENS_AGENT_TOOL_CONCURRENCY
configCODEXLENS_AGENT_FAN_OUT_ENABLED
configCODEXLENS_AGENT_FAN_OUT_MAX_WORKERS
configCODEXLENS_RERANKER_API_CONCURRENCY
configCODEXLENS_GRAPH_IMPORT_WEIGHT
configCODEXLENS_GRAPH_CALL_WEIGHT
configCODEXLENS_GRAPH_INHERIT_WEIGHT
configCODEXLENS_GRAPH_TYPE_REF_WEIGHT
configCODEXLENS_GRAPH_BACKWARD_WEIGHT
configCODEXLENS_GRAPH_FORWARD_WEIGHT
configCODEXLENS_DB_PATH
configHF_ENDPOINT
🔐 secretOPENAI_API_KEY"CODEXLENS_EMBED_API_KEY": "${}",
// 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

5/5 tools missing one or more hints — Search (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); locate (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); index_project (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +2 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 handlers catch errors

Only 1/5 tool handlers wrap calls in try/catch (20%)

Wrap each tool handler body in try/catch and return a structured error response.

Tests exist

No test files found

Add tests that exercise each declared tool.

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 4 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/catlog22/codexlens-search)](https://m8ven.ai/mcp/catlog22/codexlens-search)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: b91c83831d4f6efab69716fdb363ae3682157c20
code hash: 0c20cb9a1c9c4be0c06f62288293f3525bc81aff469209014192ad7052df93d3
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