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1999AZZAR

chaining-mcp-server

by 1999AZZAR

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
MCP_SERVERSNoJSON string containing additional MCP server configurations
GITHUB_TOKENNoGitHub Personal Access Token required for awesome-copilot tools
AWESOME_COPILOT_ENABLEDNoSet to 'false' to disable awesome-copilot integration
DISABLE_THOUGHT_LOGGINGNoSet to 'true' to disable sequential thinking thought logging
SEQUENTIAL_THINKING_AVAILABLENoSet to 'true' to enable sequential thinking integration
RELIABILITY_MONITORING_ENABLEDNoSet to 'true' to enable reliability monitoring

Capabilities

Features and capabilities supported by this server

CapabilityDetails
tools
{}
resources
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
list_mcp_serversA

Lists all discovered MCP servers on the system

analyze_toolsC

Analyzes available tools from discovered MCP servers

generate_route_suggestionsC

Generates optimal route suggestions for a given task

analyze_with_sequential_thinkingC

Analyzes complex workflows using sequential thinking

get_tool_chain_analysisC

Gets comprehensive analysis of available tools and suggested routes

sequentialthinkingC

A detailed tool for dynamic and reflective problem-solving through thoughts

search_instructionsC

Searches custom instructions based on keywords in their descriptions

load_instructionC

Loads a custom instruction from the repository

brainstormingC

Generate creative ideas and solutions for problems using different brainstorming approaches

workflow_orchestratorC

Execute complex multi-server workflows across the MCP ecosystem with dependency management and error handling

get_current_timeA

Get current time in a specific timezone

convert_timeC

Convert time between timezones

get_promptB

Get a specific prebuilt prompt by ID

search_promptsC

Search for prompts by keywords, category, or tags

get_resource_setB

Get a specific resource set by ID

search_resource_setsC

Search for resource sets by keywords, category, or tags

validate_tool_chainA

Validate tool chains for correctness, dependencies, and potential issues. Checks for circular dependencies, tool availability, and parameter compatibility

analyze_tool_chain_performanceC

Analyze performance metrics and efficiency of tool chains. Provides execution time estimates, complexity analysis, and optimization suggestions

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription
MCP ServersReturns a JSON list of all discovered MCP servers
Available ToolsReturns a JSON list of all available tools from discovered servers
Tool Chain AnalysisReturns a JSON summary of the current analysis state
Prebuilt PromptsReturns a JSON collection of all available prebuilt prompts for common development tasks
Resource SetsReturns a JSON collection of curated resource sets for different development scenarios
Prompts OverviewReturns a JSON overview of available prompts by category and complexity level
Awesome Copilot CollectionsReturns a JSON collection of all available awesome-copilot collections with their metadata
Awesome Copilot InstructionsReturns a JSON collection of all available awesome-copilot instructions with their metadata
Awesome Copilot Integration StatusReturns a JSON object with the current status of awesome-copilot integration
Sequential Thinking StateReturns a JSON object with the current state of sequential thinking sessions, including thought history and active session status
Workflow Orchestrator StatusReturns a JSON object with the status of active and completed workflow orchestrations, including execution progress and results
Tool Chaining ResourcesReturns a JSON collection of comprehensive tool chaining resources including prompts and resource sets specifically designed for complex development workflows and orchestration patterns
Tool Chaining OverviewReturns a JSON overview of available tool chaining resources organized by category and complexity level, providing insights into the tool chaining capabilities

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