MantisBT MCP server – manage issues, notes, files, tags, and relationships. With semantic search.
io.github.dpesch/mantisbt-mcp-server
Local install
STDIO
2 required env vars
Local install — runs as a subprocess.
Configuration this server reads at startup.
Base URL of the MantisBT REST API, e.g. https://your-mantis.example.com/api/rest
MantisBT API key (Profile → API Tokens in MantisBT)
Directory for the metadata cache. Defaults to ~/.cache/mantisbt-mcp
Metadata cache TTL in seconds. Default: 3600 (1 hour)
Transport mode. 'stdio' for local use (default), 'http' for remote/team deployments
HTTP port when TRANSPORT=http. Default: 3000
Bind address when TRANSPORT=http. Default: 127.0.0.1 (local only). Use 0.0.0.0 for Docker/remote.
Optional Bearer token to protect the /mcp endpoint when TRANSPORT=http
Enable offline semantic search (requires ~80 MB model download on first use)
Vector store backend for semantic search. 'vectra' (default, pure JS) or 'sqlite-vec' (faster for >10k issues)
Directory for the semantic search index. Defaults to ~/.cache/mantisbt-mcp/search
Hugging Face model for embeddings. Default: Xenova/paraphrase-multilingual-MiniLM-L12-v2
ONNX inference threads for the embedding model. Default: 1
If set, restricts file uploads to this directory (path traversal protection)
Where to find authoritative docs and source for MantisBT MCP Server.
Open MCP Agent Studio and connect this server to Claude, GPT, Gemini, DeepSeek and more — no install required.
Open Agent Studio