context-bridge
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@context-bridge Search my documentation for 'API keys' and extract relevant snippets."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Context Bridge MCP
Context Bridge is a Model Context Protocol (MCP) server designed to provide Large Language Models (LLMs) with secure, read-only access to local documentation. It acts as an intermediary layer, allowing agents to scan directories, search for keywords, and extract content from PDF, DOCX, Markdown, and plain text files directly from the host filesystem.
This tool resolves the context isolation problem by enabling agents to reference large local knowledge bases without requiring file uploads or manual copy-pasting.
Features
File System Scanning: recursively list documents with metadata (size, modification date) to understand the knowledge base structure.
Content Extraction: parse and extract text from binary formats (PDF, DOCX) and text-based formats (Markdown, TXT).
Semantic Search: perform keyword-based search across multiple files to locate relevant information snippets.
Safety: operates in read-only mode to prevent accidental data modification.
Related MCP server: MCP Docs Server
Available Tools
list_documents: Scans a directory for supported files (PDF, DOCX, MD, TXT).
path(string, optional): Absolute path to the directory. Defaults to current.recursive(boolean, optional): Enable subdirectory scanning.
read_document: Extracts text content from a file. Handles binary conversion automatically.
path(string, required): Absolute path to the file.
search_documents: Performs case-insensitive keyword search with context snippets.
query(string, required): Search term.path(string, optional): Directory scope.recursive(boolean, optional): Enable subdirectory search.
Getting Started
Local Installation (Source)
Clone the repository:
git clone https://github.com/elkraps/context-bridge-mcp.git cd context-bridgeInstall dependencies and build:
npm install npm run buildClient Configuration: Add the server configuration to your MCP-compatible client's settings file. For example:
{ "mcpServers": { "context-bridge": { "command": "node", "args": ["/ABSOLUTE/PATH/TO/context-bridge/build/index.js"] } } }
NPX Usage
Configure your MCP client to run the server directly via npx:
{
"mcpServers": {
"context-bridge": {
"command": "npx",
"args": ["-y", "@elkraps/context-bridge"]
}
}
}Usage
To effectively utilize this tool, you must explicitly direct the agent to interface with the local documentation using the context-bridge terminology.
System Prompt Configuration
To ensure the agent prioritizes this MCP server over generic shell commands (like ls or cat), add the following instruction to your System Prompt, .cursorrules, or custom instructions:
"You have access to local documentation via the
context-bridgetools. ALWAYS uselist_documents,read_document, andsearch_documentsto explore, read, or search files. Do not use shell commands for documentation tasks."
Interaction Examples
Correct Prompting:
"Please analyze the system architecture described in my documentation folder at
/Users/username/projects/docsusing context-bridge. List the available files first."
"Search for 'authentication protocols' within the local documentation using context-bridge and summarize the findings."
"Read the file
/Users/username/projects/docs/api-spec.pdfusing context-bridge and generate a Python client based on it."
Supported File Types
PDF (
.pdf): Text extraction only (OCR not supported).Microsoft Word (
.docx): Text extraction.Markdown (
.md): Native text reading.Plain Text (
.txt): Native text reading.
Available Tools
3 toolslist_documentsList documentsC
List supported documents in a directory
Inputs: path, recursive.
read_documentRead documentB
Extract text from a file
Inputs: path (required).
search_documentsSearch documentsC
Search text within documents
Inputs: query (required), path, recursive.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 3 tools
Each tool has a unique function: listing available documents, reading document content, and searching within documents. No two tools overlap in purpose, making selection unambiguous.
All tool names follow a consistent verb_noun pattern with snake_case, using list_, read_, and search_ prefixes. The slight singular/plural variation is natural and does not disrupt the pattern.
Three tools is appropriately scoped for a document access utility, covering the essential read-side operations without redundancy. The server feels focused and not bloated.
For a context-bridge server that provides document access, the ability to list, read, and search covers the core use cases. There is no obvious missing operation within the server's implied read-only scope.
Maintenance
Related MCP Connectors
Read and search folders on your own computer with explicit consent. Files are never uploaded.
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Search and reason over your Obsidian-style Markdown vault, right from ChatGPT.
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