CoderSwap
bynjlnaet
0Enables AI agents like Claude to autonomously build, manage, and search topic-specific vector knowledge bases.
About
The CoderSwap Model Context Protocol (MCP) server empowers AI agents, such as Claude Desktop, to independently establish and maintain specialized knowledge bases. It orchestrates the entire workflow from project creation and research ingestion—including auto-crawling, chunking, and embedding of URLs—to advanced hybrid vector search with intent-aware ranking. The server also provides tools for monitoring ingestion progress, capturing blocked sources, conducting search quality spot checks, and logging session notes, all while safeguarding low-level API access and ensuring secure, validated operations.
Key Features
- Record lightweight session notes for human oversight and continuity
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- Create and list vector-search projects tailored for specific topics
- Monitor ingestion job progress, identify blocked sources, and perform search quality checks
- Ingest research summaries and URLs with automated crawling, chunking, and embedding
- Execute hybrid semantic search with intelligent, intent-aware ranking
Use Cases
- Monitoring and validating the quality and completeness of research ingestion processes
- Building topic-specific knowledge bases from diverse online sources for rapid information retrieval
- Enabling AI agents to conduct autonomous research by creating, populating, and searching knowledge bases
Sponsored