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FocusMCP's official tool marketplace offers over 68 atomic MCP modules covering file operations, code intelligence, Shell execution, reasoning, search, knowledge graphs, etc. Users can combine them on demand and load them as needed.
Section 01
FocusMCP's official tool marketplace offers over 68 atomic MCP modules covering file operations, code intelligence, Shell execution, reasoning, search, knowledge graphs, etc. Users can combine them on demand and load them as needed.
Section 02
MCP (Model Context Protocol) is an open protocol that standardizes interactions between AI models and external tools/data sources. Simply put, it allows AI to use various external capabilities as if calling functions.
FocusMCP further refines this concept by introducing the Brick concept. A Brick is an atomic MCP module with a clear, single functional boundary. For example: shell for executing commands, echo for replying to messages, lastversion for checking software package versions.
The advantage of this design is on-demand combination—users only need to load the Bricks required for the current task, avoiding irrelevant tools from occupying the context window, thus improving efficiency while reducing security risks.
Section 03
The over 68 Bricks in FocusMCP Marketplace cover all aspects of AI agent development:
Section 04
File-related Bricks provide comprehensive file system interaction capabilities, including basic operations like fileread, filewrite, filelist, filesearch, filediff, as well as intelligent reading functions like smartread and multiread. Code intelligence Bricks include treesitter (syntax tree analysis), symbol (symbol query), callgraph (call graph generation), depgraph (dependency graph), outline (code outline), etc., enabling AI to deeply understand code structures.
Section 05
The shell Brick allows AI to execute commands in a controlled environment, sandbox provides an isolated runtime environment, and batch supports batch task processing. For code editing, rename is for safe renaming, while codeedit and inline offer code modification capabilities at different granularities.
Section 06
The three Bricks thinking, planning, and decision provide AI with structured reasoning capabilities, enabling the model to demonstrate thinking processes, formulate plans, and make decisions. For search, textsearch (text search), fts (full-text search), and semanticsearch (semantic search) cover various search scenarios from exact matching to semantic understanding.
Section 07
Knowledge-related Bricks include knowledge (knowledge management), graphbuild (graph construction), graphquery (graph query), graphcluster (cluster analysis), graphexport (graph export), supporting the construction and querying of complex knowledge networks. Orchestration Bricks like dispatch (task distribution), parallel (parallel execution), debate (multi-agent debate), review (code review), research (research mode), agent (agent management), etc., provide the infrastructure for complex workflows.
Section 08
smartcontext, overview, compress, tokenbudget, contextpackmetrics (metric collection), heatmap (heatmap), savings (savings analysis)format (formatting), validate (validation), convert (conversion), diagram (diagram), routes (routing)onboarding (onboarding guide), fullaudit (full audit), autopilot (auto mode)lastversion (check latest version)Keep going with more reads from the same topic.
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