Mcp File Processor
Ingest local documents into RAG pipelines by extracting text, keywords, language, and chunks from files inside the agent.
Overview
Intelagent MCP File Processor is a Build-phase MCP server that extracts text, keywords, language, and RAG chunks from files for agent-driven ingestion pipelines.
What is this MCP server?
- Extracts plain text from uploaded or referenced files for downstream indexing
- Runs keyword extraction to surface salient terms before embedding
- Detects document language to route parsers and metadata correctly
- Splits content into RAG-ready chunks suitable for vector ingestion
- Stdio MCP package via npx @intelagent/mcp-file-processor (v0.1.1)
- Server version 0.1.1 on npm as @intelagent/mcp-file-processor
- Stdio transport via npx runtimeHint
- Four documented capabilities: text extraction, keywords, language detection, chunking
What problem does it solve?
Agents and indie RAG prototypes stall when every new file type needs a custom parser and chunking script before anything can be embedded.
Who is it for?
Solo builders wiring document upload or repo docs into a vector store from Claude Code, Cursor, or Codex during Build.
Skip if: Teams that only need full managed ingestion with OCR, layout models, and hosted search in one SaaS bundle.
What do I get? / Deliverables
Your assistant can normalize documents through one MCP tool surface so you spend time on retrieval quality and product UX instead of preprocessing glue code.
- Extracted text and metadata-ready chunks from agent-requested files
- Keywords and detected language to tag chunks before embedding
- Repeatable MCP tool calls instead of one-off preprocessing scripts
Recommended MCP Servers
Journey fit
File-to-chunk processing is a core Build-step capability when you wire knowledge bases and retrieval into your product or coding agent. Agent-tooling is the canonical shelf for MCP servers that prepare documents for embeddings and vector stores rather than shipping UI or payment flows.
How it compares
MCP file-preprocessing integration, not a hosted vector database or embedding API.
Common Questions / FAQ
Who is Intelagent MCP File Processor for?
Indie and solo builders adding RAG or doc Q&A to agents who want extraction, keywords, language detection, and chunking exposed as MCP tools.
When should I use Intelagent MCP File Processor?
Use it in the Build phase while you prototype ingestion—before you commit to a fixed chunking strategy or production embedding pipeline.
How do I add Intelagent MCP File Processor to my agent?
Register the stdio server in your MCP config with runtime npx and package @intelagent/mcp-file-processor, then invoke its tools from Claude Code, Cursor, or another MCP-capable client.