Retrieve organizational context files before writing code or docs. Returns the README with reading order, a list of context files, or a specific file's content or starter template.
MIT
708,760 tools. Updated 2026-10-27 13:34
"A server for reading files to provide context for writing large documents" matching MCP tools:
- Publish immutable, persistent text artifacts without starting a model. Use source_path for large files so their bodies stay out of the model context.MIT
- Add documents to a collection by providing a URL for download, processing them for text extraction, and indexing them for semantic search.MIT
- Get complete file context: all defined symbols, imports, exports, and files that import from it, plus cross-language connections like REST calls and subprocess calls. Supports line ranges for large files.Business Source 1.1
- Exports all documents from a vault to a local directory, copying original files for backup or sharing.Business Source 1.1
- Submit large scanned or PDF invoices for asynchronous analysis when files exceed synchronous limits. Returns a job_id to poll for results.MIT
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Give your AI agent a phone. Place outbound calls to US businesses to ask, book, or confirm.
- Resolve a resource name or ID to the exact project resource before reading, planning, or writing it, with optional per-call workspace targeting.Apache 2.0
- Find relevant organizational files by searching context with a query, returning matching documents to read.MIT
- List documents in any Tealfabric directory by path or tenant to locate and manage package files.Apache 2.0
- List draft files for a hosted app, including app.json, shared files, and each page, reading one page per request so large apps fit. Target a workspace with host, org, and project.Apache 2.0
- Assemble a scoped, ranked context pack for a task query at the start of substantial work, replacing broad file reading with relevant rules, code, and knowledge.MIT
- Search across all Obsidian vault files for documents containing specific text queries, returning relevant matches with context.MIT
- Read a source's full indexed content as Markdown, with repeated chunk context shown once. Provide filePath or source for the complete document; use read_chunk_neighbors for local context.MIT
- Read file content as plain text for direct copying into edit operations. Supports line ranges for large files and never returns credential files.MIT
- List YAML, JSON, or TXT config files under the Home Assistant /config directory to discover existing files before reading or writing them. Skips secrets and .storage.MIT
- Summarize large files or text with a local model to save context: pass a path for server-side reading or text, and get a focused summary without loading full content into Claude.MIT
- Extract structured fields from large files or text as validated JSON using a local model, reading files server-side to avoid consuming Claude context.MIT
- Read and extract text, annotations, and handwriting from reMarkable documents. Supports pagination and search for large files.MIT
- Upload a local file to a ZSpace NAS directory to push media or documents. Supports renaming and automatic chunked upload for large files.MIT
- Translate text or file content with a local model, reading files server-side so large documents never consume your context. Splits long files at natural boundaries.MIT
- Retrieve markdown documents from mdshare for AI workflows. Specify an output path for large files to save content directly to disk with faster performance.MIT