KS
Killer-Skills

chitti-mcp — how to use chitti-mcp how to use chitti-mcp, chitti-mcp setup guide, chitti-mcp decision management, chitti-mcp vs other AI agent skills, installing chitti-mcp, chitti-mcp tutorial for developers

v1.0.0
GitHub

About this Skill

Ideal for Decision Management Agents requiring advanced tracking and auditing capabilities via Chitti's MCP tools. chitti-mcp is a skill that provides decision management capabilities using Chitti's MCP tools, allowing for recording, recalling, and auditing decisions.

Features

Starts the MCP server using the `scripts/start_server.sh` command
Supports one-shot tool calls via `scripts/mcp_call.sh` with JSON payloads
Provides `chitti.decide` tool for recording decisions with `action`, `amount`, and `reason` parameters
Offers `chitti.recall` tool for querying decision history with filter support
Utilizes shell scripts for easy server management and tool invocation

# Core Topics

rahulmanuwas rahulmanuwas
[0]
[0]
Updated: 3/6/2026

Quality Score

Top 5%
41
Excellent
Based on code quality & docs
Installation
SYS Universal Install (Auto-Detect)
Cursor IDE Windsurf IDE VS Code IDE
> npx killer-skills add rahulmanuwas/chitti/chitti-mcp

Agent Capability Analysis

The chitti-mcp MCP Server by rahulmanuwas is an open-source Categories.community integration for Claude and other AI agents, enabling seamless task automation and capability expansion. Optimized for how to use chitti-mcp, chitti-mcp setup guide, chitti-mcp decision management.

Ideal Agent Persona

Ideal for Decision Management Agents requiring advanced tracking and auditing capabilities via Chitti's MCP tools.

Core Value

Empowers agents to record, recall, and audit decisions using Chitti's MCP tools, supporting JSON-based data exchange and providing functionalities like decision tracking and history querying through tools like chitti.decide and chitti.recall.

Capabilities Granted for chitti-mcp MCP Server

Recording financial decisions with chitti.decide
Querying decision history with chitti.recall
Auditing actions through MCP server logs

! Prerequisites & Limits

  • Requires MCP server setup and startup via scripts/start_server.sh
  • Dependent on Chitti's MCP tools and their compatibility
Project
SKILL.md
831 B
.cursorrules
1.2 KB
package.json
240 B
Ready
UTF-8

# Tags

[No tags]
SKILL.md
Readonly

Chitti MCP Skill

Use this when you need to record, recall, or audit decisions via Chitti's MCP tools.

Quick start

  • Start the MCP server:
    • scripts/start_server.sh
  • Call a tool in one shot (starts server, calls tool, exits):
    • scripts/mcp_call.sh chitti.decide '{"action":"pay","amount":5,"currency":"USDC","reason":"example"}'

When to use which tool

  • chitti.decide: record a decision (requires action, amount, reason).
  • chitti.recall: query history (filters like action, to, outcome, query, limit).
  • chitti.policy.*: manage/evaluate rules.
  • chitti.audit: fetch decision by id.

Notes

  • This skill wraps the existing MCP server; do not remove MCP if you need ChatGPT connectors or other MCP clients.
  • If a tool call fails, retry with valid JSON arguments and required fields.

Related Skills

Looking for an alternative to chitti-mcp or building a Categories.community AI Agent? Explore these related open-source MCP Servers.

View All

widget-generator

Logo of f
f

widget-generator is an open-source AI agent skill for creating widget plugins that are injected into prompt feeds on prompts.chat. It supports two rendering modes: standard prompt widgets using default PromptCard styling and custom render widgets built as full React components.

149.6k
0
Design

chat-sdk

Logo of lobehub
lobehub

chat-sdk is a unified TypeScript SDK for building chat bots across multiple platforms, providing a single interface for deploying bot logic.

73.0k
0
Communication

zustand

Logo of lobehub
lobehub

The ultimate space for work and life — to find, build, and collaborate with agent teammates that grow with you. We are taking agent harness to the next level — enabling multi-agent collaboration, effortless agent team design, and introducing agents as the unit of work interaction.

72.8k
0
Communication

data-fetching

Logo of lobehub
lobehub

The ultimate space for work and life — to find, build, and collaborate with agent teammates that grow with you. We are taking agent harness to the next level — enabling multi-agent collaboration, effortless agent team design, and introducing agents as the unit of work interaction.

72.8k
0
Communication