specir-mcp

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specir-mcp is a data-neutral framework for turning technical documents into a structured intermediate representation (SpecIR) and querying it through five stable MCP tools.

The repository contains no standards PDFs, extracted specification text, knowledge-base databases, model weights, or vendor-specific protocol tables. All bundled demo content is fictional.

Features

• Document, section, table, figure, entity, passage, provenance, and edge IR.

• Extensible domain plugin manifests with dependency-aware loading.

• PDF outline-based section extraction and reusable structure parsers.

• SQLite-backed exact lookup, fetch, explanation, search, and status APIs.

• A five-tool FastMCP surface: specir_resolve, specir_fetch, specir_explain, specir_search, and specir_status.

• Explicit coverage metadata so missing extraction is not confused with absence from a source document.

Related MCP server: literature-agent-mcp

Quick start

python -m venv .venv
. .venv/bin/activate
pip install -e ".[test]"

# Generate a small database from the fictional Acme Device Interface fixture.
specir-demo --output data/demo.db

export SPEC_IR_DB="$PWD/data/demo.db"
specir-mcp-server

The same server may be launched from a source checkout:

fastmcp run src/specir/query/server.py

Example MCP calls:

specir_resolve(kind="command", id="A1h", spec="acme-device")
specir_fetch(uid="acme-device:2.1", include_xrefs=true)
specir_explain(name="Read Telemetry", kind="command", spec="acme-device")
specir_search(query="telemetry", spec="acme-device")
specir_status()

When a database contains one document, spec="auto" selects it. With multiple documents, exact lookups return candidates and request an explicit spec.

Using your own data

Create a database with specir.query.schema.create_database, then insert documents and entities using the schema documented by the Python dataclasses. Set SPEC_IR_DB to that database before starting the server. The framework never downloads or bundles source documents.

The optional PDF extractor can build coordinate-clipped section records:

from specir.extractors.pdf import build_section_tree

sections = build_section_tree("my-spec", "path/to/your-document.pdf")

You are responsible for having permission to process and store the documents you supply.

Development

pytest
python -m build

The tests create temporary synthetic databases and do not require external specifications or network access.

License

Apache License 2.0. See LICENSE.