Tsap MCP Server
T

Tsap MCP Server

The TSAP MCP Server is a text search and analysis processing system based on the Model Context Protocol (MCP), providing standardized interface services for code intelligence and text analysis. The project consists of three major components: core TSAP functions, tool APIs, and the MCP adaptation layer. It supports various functions such as text search, code analysis, and data processing, and can be seamlessly integrated with MCP clients such as Claude Desktop.
2.5 points
5.9K

What is the TSAP MCP Server?

The TSAP MCP Server is a standardized interface server that exposes powerful text search, code analysis, and document processing functions to AI assistants (such as Claude Desktop) through the MCP protocol. It enables AI to understand code, analyze document content, and perform complex text processing tasks.

How to use the TSAP MCP Server?

After installation, the server will automatically integrate with compatible AI assistants. You can directly interact with the AI through natural language, and the AI will call various tools on the server to complete your requests.

Use cases

Scenarios that require in - depth text processing capabilities, such as code search and analysis, document content extraction, text data processing, project structure exploration, and code quality inspection.

Main Features

Intelligent Search
Supports text, code, and semantic search, and can filter results by multiple conditions such as file type and path.
Text Analysis
Provides advanced analysis functions such as document structure analysis, code quality inspection, and content feature extraction.
Text Processing
Includes various processing tools such as text standardization, pattern extraction, and data conversion.
Data Visualization
Supports intuitive display of analysis results in the form of charts, network diagrams, etc.
Advantages
Standardized interface, compatible with multiple AI assistants
Powerful text processing and analysis capabilities
Flexible search and filtering options
Scalable architecture design
Limitations
Requires Python environment support
Some advanced functions require additional dependencies
Performance optimization may be required when processing large - scale documents

How to Use

Install the Server
Ensure that Python 3.13+ and ripgrep are installed on the system, and then run the installation command.
Start the Server
Use the command - line tool to start the MCP server.
Integrate into AI Assistant
In compatible AI assistants such as Claude Desktop, the server will be automatically discovered and used.

Usage Examples

Code Search
Find all code snippets using a specific API in the project.
Document Analysis
Extract the key parameter tables from technical documents.
Code Quality Inspection
Check potential problems in Python files.

Frequently Asked Questions

Which AI assistants does the TSAP MCP Server support?
How to handle searches in large codebases?
Is an internet connection required for use?
How to extend the server functions?

Related Resources

MCP Protocol Documentation
The official specification document of the Model Context Protocol.
GitHub Repository
Project source code and issue tracking.
Usage Tutorial Video
An introductory video tutorial for the TSAP MCP Server.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

C
Claude Context
Claude Context is an MCP plugin that provides in - depth context of the entire codebase for AI programming assistants through semantic code search. It supports multiple embedding models and vector databases to achieve efficient code retrieval.
TypeScript
8.4K
5 points
A
Acemcp
Acemcp is an MCP server for codebase indexing and semantic search, supporting automatic incremental indexing, multi-encoding file processing, .gitignore integration, and a Web management interface, helping developers quickly search for and understand code context.
Python
10.6K
5 points
B
Blueprint MCP
Blueprint MCP is a chart generation tool based on the Arcade ecosystem. It uses technologies such as Nano Banana Pro to automatically generate visual charts such as architecture diagrams and flowcharts by analyzing codebases and system architectures, helping developers understand complex systems.
Python
8.6K
4 points
M
MCP Agent Mail
MCP Agent Mail is a mail - based coordination layer designed for AI programming agents, providing identity management, message sending and receiving, file reservation, and search functions, supporting asynchronous collaboration and conflict avoidance among multiple agents.
Python
8.9K
5 points
M
MCP
The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants
12.5K
5 points
A
Aderyn
Aderyn is an open - source Solidity smart contract static analysis tool written in Rust, which helps developers and security researchers discover vulnerabilities in Solidity code. It supports Foundry and Hardhat projects, can generate reports in multiple formats, and provides a VSCode extension.
Rust
10.1K
5 points
D
Devtools Debugger MCP
The Node.js Debugger MCP server provides complete debugging capabilities based on the Chrome DevTools protocol, including breakpoint setting, stepping execution, variable inspection, and expression evaluation.
TypeScript
9.2K
4 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
12.3K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
19.1K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
56.9K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
29.3K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
16.8K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
25.1K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
52.4K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
18.8K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
77.7K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase