document-evidence-mcp
Related Servers
Alternatives to document-evidence-mcp
No user-submitted related servers found.
Related Servers
- AlicenseBqualityAmaintenanceLocal-first MCP server that transforms civil case PDFs into queryable cases with structural provenance, evidence IDs, and page-level verification for drafting and factual review.22Apache 2.0
- AlicenseBqualityAmaintenanceAn MCP-native evidence retrieval platform that ingests source material, builds lexical and vector indexes, performs hybrid retrieval, and returns structured evidence packages for AI assistants.88Apache 2.0
- AlicenseAqualityDmaintenanceA local-first document retrieval MCP server that enables AI coding tools like Codex to search private local documents via semantic search and keyword boost, supporting ingestion of PDF, DOCX, TXT, Markdown, and HTML files.7MIT
- AlicenseNot gradedqualityAmaintenanceProvides an evidence-oriented MCP interface for Evidence RAG Pilot, enabling retrieval of evidence packages, chunks, and evidence images from PDF-based corpora.1Apache 2.0
- AlicenseNot gradedqualityBmaintenanceEnables agents to retrieve relevant context from local documents via MCP tools, supporting ingestion, semantic search, metadata filtering, and evidence inspection entirely on-device.MIT
- AlicenseNot gradedqualityDmaintenanceLocal MCP server that indexes folders of documents into a hybrid vector + keyword search index for Claude Desktop, with support for PDFs, Office files, and images via OCR.MIT
TDQS
Scored across 7 tools
Each tool targets a distinct aspect of the document evidence lifecycle: ingestion, searching, retrieval by ID, document listing, document metadata, rendering crops, and health checks. The overlapping-sounding pairs (search/get, list/get) are clearly differentiated by their descriptions and return types.
Six of seven tools follow a consistent verb_noun pattern (ingest_document, search_evidence, get_evidence, list_documents, get_document, render_crop). The lone exception is 'doctor', which breaks the pattern and is the only naming inconsistency.
Seven tools is well-scoped for a document evidence management server, covering the full workflow from ingestion through search, retrieval, rendering, and diagnostics. Each tool has a clear purpose with no redundancy.
The toolset provides a complete lifecycle from ingestion to evidence retrieval and rendering, including document management and a health check. There are no obvious missing operations, as updates can be handled via explicit new revisions during ingestion.