CSG MCP Server
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Alternatives to CSG MCP Server
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Related Servers
- AlicenseAqualityAmaintenanceEnables AI coding agents to query a semantic cross-repository code graph for symbols, references, callers, dependencies, and change impact across registered repositories.1223Apache 2.0
- AlicenseNot gradedqualityAmaintenanceEnables AI coding agents to query a local structural code graph for focused context, including relevant source entities, Git relationships, call paths, impact, and recorded mistakes. It exposes this context so agents can investigate code and retrieve bounded context before reading full files.9 npmMIT
- AlicenseNot gradedqualityAmaintenanceEnables AI coding agents to query a local structural code graph and retrieve focused context about source entities, relationships, and recorded project memory.9 npmMIT
- AlicenseNot gradedqualityDmaintenanceEnables AI agents to query and analyze code across multiple repositories through a unified knowledge graph, with tools for symbol search, impact analysis, and graph algorithms.15 npmMIT
- AlicenseNot gradedqualityAmaintenanceEnables AI coding agents and IDEs to query a local structural code graph and retrieve focused, token-bounded context on code entities, Git relationships, callers/callees, impact, paths, and recorded mistakes for more efficient sessions.9 npmMIT
- AlicenseNot gradedqualityAmaintenanceEnables AI coding agents to query a local structural code graph, inspect relationships and impact, and retrieve focused project context before reading full files.9 npmMIT
TDQS
Scored across 11 tools
Each tool targets a clearly distinct query type: entity listing/searching, definitions, call-graph directions, impact analysis, call paths, static-analysis defects, ASTs, index status, and translation units. who_calls vs. what_calls and blast_radius vs. call_path are explicitly differentiated by direction and analysis purpose.
All names use snake_case consistently, and most follow a readable verb_noun or query pattern. Minor deviations exist in noun-only names like blast_radius, call_path, file_issues, and status, but they remain clear and predictable within the set.
Eleven tools are well-scoped for a code-intelligence and static-analysis server, covering entities, call graphs, defects, ASTs, and build artifacts without obvious redundancy. Each tool appears to earn its place.
The surface covers core code-analysis workflows: symbol lookup, definitions, callers/callees, impact paths, Coverity defects, ASTs, status, and translation units. Minor gaps exist, such as global defect search/listing or general file/source retrieval, but agents can largely work around them.