$ loading_
Convert technical documents into SpecIR and query structured content via MCP tools.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "specir-mcp" yet — see the docs or source repo.
After converting this technical document into SpecIR, use specir_fetch to get the sections about 'API limits' and return their provenance information.
Returns the relevant document sections along with their source or provenance information.
Based on SpecIR, use specir_explain to explain the key entity 'SpecIR' and its role in the document.
Outputs an explanation of the entity and describes its meaning or purpose in context.
Use specir_search to find all tables and figures related to performance metrics in the document and list the matches.
Returns matching tables, figures, or related snippets for further review.
Developers or researchers can first convert technical documents into SpecIR, then retrieve sections, tables, figures, or entities precisely to reduce manual searching.
When a team needs to confirm where a statement or data point came from, the tool can return provenance information to help verify the original source.
When working with complex technical materials, users can search for specific concepts and use the explanation capability to quickly understand key entities and their context.
It converts technical documents into a structured intermediate representation called SpecIR and exposes five MCP tools for resolving, fetching, explaining, searching, and checking status. It also supports extracting and retrieving sections, tables, figures, entities, and provenance.
It provides five tools: specir_resolve, specir_fetch, specir_explain, specir_search, and specir_status. They are used for document resolution, retrieval, explanation, search, and status checking.
The provided material does not include installation steps, runtime requirements, or key information. For prerequisites, see the source repository.
Connect AI tools to read and integrate Specifai project documents.
Guide spec-driven development through requirements, design, and task phases.
Enable AI to read and write SpecDown specs for spec-driven development.
Query technical specs in natural language and check code compliance automatically.
Create, query, validate, and analyze software specifications with AI guidance.
Turn OpenAPI specs into queryable tools for endpoint search and schema exploration.