ai-context-mcp@0.1.0
VERIFIED· startup onlyPublisher claims: "Model Context Protocol integration for AI Context" Observed in sandbox: no network, touches nothing outside the project, writes no memory.
Coverage
Startup only; authenticated tool behavior not tested.- Tested
- server startup over stdio (initialize sent) · every file read, file written and host contacted by what ran
- Not tested
- the tool list (the server exited before answering) · what the tools do when called with real credentials
- Needs
- GEMINI_API_KEY, OPENAI_API_KEY — give it to the server where it runs, through vet-skills run --secrets, so the value never enters the server's environment. Never paste a credential into a chat, a ticket or a report.
What this means for the label: Verified here covers what ran. The server's tools were not exercised with a real credential, so nothing about their behavior is asserted; the credential summary below says what to do with that.
Before you give it your token
- It will ask for
- no credential variables read in the code; at startup it asked for GEMINI_API_KEY, OPENAI_API_KEY
- Where it talks to
- no vendor host named in the codeAlso qdrant.io — not the publisher's domain; check what for before connecting.
- What the honeypot saw
- no credential files read · no network
- What we could not test
- the tool list (the server exited before answering) · what the tools do when called with real credentials
Connect it under the guard. Startup only; authenticated tool behavior not tested. The code names no credential variable; the guard pins the network to what the honeypot saw and logs every call.
Never paste a credential into a chat, a ticket or a report, including ours. How the guard holds it.
Is [email protected] safe to install?
KillerSkills ran it in the KillerSkills honeypot sandbox (2 scenarios; startup only; authenticated tool behavior not tested) on 2026-11-10 and scored it 82/100 (Verified). In what ran, nothing we could detect went wrong: no undeclared network egress, no credential reads, no persistent instruction writes. What it does with a real credential was not observed (it asks for GEMINI_API_KEY, OPENAI_API_KEY); the static findings and the publisher carry the rest of the score. Summary: no network, touches nothing outside the project, writes no memory.
Behavior trace
Honeypot run · 73 s · 2 scenarios · 0 deviationsStatic findings
<summary><strong>4. Ollama Configuration (Local/Self-hosted)</strong></summary> Ollama allows you to run embeddings locally without sending data to external serFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.OPENAI_API_KEY=sk-xxx EMBEDDING_MODEL=text-embedding-3-large MILVUS_TOKEN=your-token npx @mcampa/ai-context-mcp@latestFix: Pin versions and sources; vendor anything fetched at install time.OPENAI_API_KEY=sk-xxx MILVUS_ADDRESS=localhost:19530 npx @mcampa/ai-context-mcp@latestFix: Pin versions and sources; vendor anything fetched at install time.EMBEDDING_PROVIDER=VoyageAI VOYAGEAI_API_KEY=pa-xxx EMBEDDING_MODEL=voyage-3-large MILVUS_TOKEN=your-token npx @mcampa/ai-context-mcp@latestFix: Pin versions and sources; vendor anything fetched at install time.EMBEDDING_PROVIDER=Gemini GEMINI_API_KEY=xxx EMBEDDING_MODEL=gemini-embedding-001 MILVUS_TOKEN=your-token npx @mcampa/ai-context-mcp@latestFix: Pin versions and sources; vendor anything fetched at install time.<summary><strong>OpenAI Codex CLI</strong></summary> Codex CLI uses TOML configuration files: 1. Create or edit the `~/.codex/config.toml` file. 2. Add the follFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.<summary><strong>1. OpenAI Configuration (Default)</strong></summary> OpenAI provides high-quality embeddings with excellent performance for code understanding.Fix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.Usage: npx @mcampa/ai-context-mcp@latest [options]Fix: Pin versions and sources; vendor anything fetched at install time.this.codebaseFileCount = new Map(); // No file count info in v1 formatFix: Build commands from fixed arguments; do not interpolate untrusted strings into a shell.<summary><strong>2. VoyageAI Configuration</strong></summary> VoyageAI offers specialized code embeddings optimized for programming languages. ```bash # RequireFix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.<summary><strong>3. Gemini Configuration</strong></summary> Google's Gemini provides competitive embeddings with good multilingual support. ```bash # Required: Fix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.Cost to the agent
Tokens estimated at four characters each. The tool list is re-read by the agent on every turn, so it is the number to compare between servers that do the same job: ranked across the index.
Known vulnerabilities
No advisories in OSV for @mcampa/ai-context-mcp@0.1.0 as of 4d ago. This is the package itself, not its dependencies.