Coding File Context
This file context server, developed for enhanced Model Context Protocol (MCP) interactions, provides AI assistants with advanced file system access and code analysis capabilities. It implements real-time file watching, smart caching with LRU strategy, and detailed code metrics calculation including cyclomatic complexity and dependency extraction. The server exposes tools for file operations, code analysis, and advanced searching with regex support and context-aware results. By offering a comprehensive file system interface through MCP, it enables AI systems to efficiently read, search, and analyze code files. This implementation is particularly suited for scenarios involving large codebases, continuous integration environments, or AI-assisted code review processes, facilitating use cases such as automated code quality assessment, intelligent code navigation, and context-aware programming assistance.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- monitoring
- Source
- PulseMCP
- Repository
- github.com/bsmi021/mcp-file-context-server
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve Coding File Context from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.