ACE-MCP (0215AndrewFeng/ACE-MCP) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. It declares 17 tools. No publisher has claimed this listing.

Back to MCP Trust IndexM8ven
C
Emerging
74/100
7 days ago

ACE-MCP

Enables AI clients to perform local code search, indexing, and analysis across Java, JavaScript/TypeScript, .NET/C#, and Python projects through the MCP protocol.

→ 0215AndrewFeng/ACE-MCP· 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

0215AndrewFeng

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

Glama

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// 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 2 credentials: ACE_MCP_EMBEDDING_API_KEY, ACE_MCP_LLM_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.
configACE_MCP_AUTO_WATCH
configACE_MCP_BATCH_SIZE
configACE_MCP_DEFAULT_TOP_K
🔐 secretACE_MCP_EMBEDDING_API_KEY
configACE_MCP_EMBEDDING_API_URL
configACE_MCP_EMBEDDING_MODEL
configACE_MCP_ENABLE_LLM_RERANKER
configACE_MCP_ENABLE_VECTOR_SEARCH
configACE_MCP_EXCLUDE_PATTERNS
configACE_MCP_INDEX_CONCURRENCY
configACE_MCP_INDEX_FRESHNESS
configACE_MCP_INDEX_FRESHNESS_SECONDS
🔐 secretACE_MCP_LLM_API_KEY
configACE_MCP_LLM_API_URL
configACE_MCP_LLM_MAX_TOKENS
configACE_MCP_LLM_MODEL
configACE_MCP_LLM_RERANKER_MAX_CANDIDATES
configACE_MCP_LLM_TEMPERATURE
configACE_MCP_LOG_LEVEL
configACE_MCP_MAX_FILE_SIZE_KB
configACE_MCP_MAX_LINES_PER_CHUNK
configACE_MCP_QA_MAX_CONTEXT_TOKENSLLM 上下文 token 预算（默认 48000；放大可让大接口带更完整代码，受模型上下文窗口约束）
configACE_MCP_QA_MAX_CONTEXT_TOKENS_MAX上下文预算上限，用于钳制按请求传入的 maxContextTokens（默认 200000）
configACE_MCP_QA_MAX_SOURCES_DEFAULT默认检索源数量（默认 15）
configACE_MCP_QA_MAX_SOURCES_MAX最大检索源数量上限（默认 100）
configACE_MCP_SEARCH_CACHE_MAX_SIZE
configACE_MCP_SEARCH_CACHE_TTL_MS
configACE_MCP_SEARCH_FANOUT_LIMIT
configACE_MCP_SEARCH_FANOUT_MULTIPLIER搜索候选集扩展倍数（默认 3）
configACE_MCP_SEARCH_PER_FILE_LIMIT每个文件最多保留的搜索结果数（默认 2）
configACE_MCP_SEARCH_WORKER_POOL_SIZESQLite search reader 数量（默认 2，最大 16）
configACE_MCP_SEARCH_WORKER_QUEUE_DEADLINE_MS搜索从入队到 reader 完成的最长时间（默认 5000ms，最大 60000ms）
configACE_MCP_SEARCH_WORKER_QUEUE_MAX_PENDING等待执行的搜索请求上限（默认 64，最大 1024）
configACE_MCP_SQLITE_INDEX_WORKER_DATA
configACE_MCP_SQLITE_SEARCH_WORKER_DATA
configACE_MCP_TEXT_EXTENSIONS
configACE_MCP_VECTOR_CACHE_MAX_PROJECTS
configACE_MCP_VECTOR_INDEXING_MODE
configACE_MCP_WATCH_DEBOUNCE_MS
configACE_MCP_WATCH_MAX_WAIT_MS
configACE_MCP_WATCH_RECONCILE_SECONDS
// 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

17/17 tools missing one or more hints — ask_codebase (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); cache_stats (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); clear_project_index (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +14 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

Only 3/17 tools referenced in tests (18%)

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

Dependency freshness

1/9 production deps stale: @iarna/toml@2023-07-15 (3.1y)

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/0215andrewfeng/ace-mcp)](https://m8ven.ai/mcp/0215andrewfeng/ace-mcp)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: 84d11778fb2c1d4c37ca9f8bdc78f27e264819a4
code hash: 596d26e185d4a7702d7c1d8c1a9795556004ab477273b9b87d96b4f359bbd926
verified: 9/3/2026, 8:36:37 PM
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