developer-tools

Pica

picahq

by picahq

Pica is automated workflow software for business process automation, integrating actions across services via a unified i

Integrates with the Pica API platform to discover, configure, and execute actions across dozens of third-party services through a unified interface, handling complex workflows like form data submission, path variable replacement, and authentication management for automating business processes and building multi-platform integrations.

github stars

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Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

No API keys to manage200+ platforms supportedNatural language to code generation

best for

  • / Developers building multi-platform integrations
  • / Automating business processes across different services
  • / Teams needing unified API access without key management
  • / Creating workflows that span multiple third-party platforms

capabilities

  • / Execute API actions across 200+ platforms
  • / Search and discover available platform actions
  • / Generate integration code from natural language prompts
  • / Handle complex workflows with form data and authentication
  • / Manage multiple connections per platform
  • / Process natural language commands directly

what it does

Integrates with 200+ third-party services through a unified API platform, allowing you to execute actions and automate workflows without managing individual API keys.

about

Pica is an official MCP server published by picahq that provides AI assistants with tools and capabilities via the Model Context Protocol. Pica is automated workflow software for business process automation, integrating actions across services via a unified i It is categorized under developer tools.

how to install

You can install Pica in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

Pica is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

Pica MCP Server

npm version

<img src="https://assets.picaos.com/github/mcp.svg" alt="Pica MCP Banner" style="border-radius: 5px;">

A Model Context Protocol (MCP) server that integrates with Pica, enabling seamless interaction with various third-party services through a standardized interface. This server provides direct access to platform integrations, actions, execution capabilities, and robust code generation capabilities.

Features

Tools

  • list_pica_integrations - List all available platforms and your active connections
  • search_pica_platform_actions - Search for available actions for a specific platform
  • get_pica_action_knowledge - Get detailed documentation for a specific action including parameters and usage
  • execute_pica_action - Execute API actions with full parameter support

Key Capabilities

Platform Integration

  • Connect to 200+ platforms through Pica
  • Manage multiple connections per platform
  • Real-time connection status and discovery

Smart Intent Detection

  • Execute actions directly from natural language (e.g. "read my last gmail email", "send a message to the slack channel #general")
  • Generate integration code from prompts (e.g. "build a form to send emails using gmail", "create a UI for messaging")
  • Automatically distinguishes between execution and code generation intent

Direct Execution

  • Support for all HTTP methods (GET, POST, PUT, DELETE, etc.)
  • Handle form data, URL encoding, and JSON payloads
  • Path variable substitution, query parameters, and custom headers

Security

  • All requests authenticated and proxied through Pica; no platform API keys to manage
  • Secrets never exposed in responses or generated code
  • Request configurations sanitized before returning to clients
  • Fine-grained access control via permission levels, connection key scoping, and action allowlisting

Getting Started

The fastest way to get up and running is with the Pica CLI. It handles API key configuration and MCP installation for your agent or editor of choice.

npm install -g @picahq/cli
pica init

pica init will prompt you for your API key (get one from the Pica dashboard) and walk you through configuring the MCP server for your environment (Claude Desktop, Cursor, Claude Code, etc.).

Manual Installation

If you prefer to configure the server manually, install the package directly:

npm install @picahq/mcp

Then set the required environment variable:

PICA_SECRET=your-pica-secret-key

Optional: Identity Scoping

You can scope connections to a specific identity (e.g., a user, team, or organization) by setting these optional environment variables:

PICA_IDENTITY=user_123
PICA_IDENTITY_TYPE=user
VariableDescriptionValues
PICA_IDENTITYThe identifier for the entity (e.g., user ID, team ID)Any string
PICA_IDENTITY_TYPEThe type of identityuser, team, organization, project

When set, the MCP server will only return connections associated with the specified identity. This is useful for multi-tenant applications where you want to scope integrations to specific users or entities.

Optional: Access Control

Fine-tune what the MCP server can see and do by setting these optional environment variables:

PICA_PERMISSIONS=read
PICA_CONNECTION_KEYS=conn_key_1,conn_key_2
PICA_ACTION_IDS=action_id_1,action_id_2
PICA_KNOWLEDGE_AGENT=true
VariableTypeDefaultDescription
PICA_PERMISSIONSread | write | adminadminFilter actions by HTTP method. read = GET only, write = GET/POST/PUT/PATCH, admin = all methods
PICA_CONNECTION_KEYS* or comma-separated keys*Restrict visible connections and platforms to specific connection keys
PICA_ACTION_IDS* or comma-separated IDs*Restrict visible and executable actions to specific action IDs
PICA_KNOWLEDGE_AGENTtrue | falsefalseRemove the execute_pica_action tool entirely, forcing knowledge-only mode

All defaults preserve current behavior. If no access control env vars are set, the server starts with full access and all tools available.

Manual Configuration

If you used pica init, the configuration below is already done for you. These examples are for reference or manual setups.

Standalone

npx @picahq/mcp

Claude Desktop

On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json On Windows: %APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "pica": {
      "command": "npx",
      "args": ["@picahq/mcp"],
      "env": {
        "PICA_SECRET": "your-pica-secret-key"
      }
    }
  }
}

Cursor

In the Cursor menu, select "MCP Settings" and add the following:

{
  "mcpServers": {
    "pica": {
      "command": "npx",
      "args": ["@picahq/mcp"],
      "env": {
        "PICA_SECRET": "your-pica-secret-key"
      }
    }
  }
}

Remote MCP Server

The remote MCP server is available at https://mcp.picaos.com.

Docker

docker build -t pica-mcp-server .
docker run -e PICA_SECRET=your_pica_secret_key pica-mcp-server

All environment variables listed in the Setup section can be passed as -e flags.

Examples for Inspiration

Integration Code Generation

Build Email Form:

"Create me a React form component that can send emails using Gmail using Pica"

Linear Dashboard:

"Create a dashboard that displays Linear users and their assigned projects with filtering options using Pica"

QuickBooks Table:

"Build a paginatable table component that fetches and displays QuickBooks invoices with search and sort using Pica"

Slack Integration:

"Create a page with a form that can post messages to multiple Slack channels with message scheduling using Pica"

Direct Action Execution

Gmail Example:

"Get my last 5 emails from Gmail using Pica"

Slack Example:

"Send a slack message to #general channel: 'Meeting in 10 minutes' using Pica"

Shopify Example:

"Get all products from my Shopify store using Pica"

Error Handling

All tool inputs are validated against Zod schemas before execution. Path variables are checked for completeness; missing or empty values throw descriptive errors rather than producing malformed requests. API failures from upstream platforms are caught and returned as structured MCP error responses with actionable messages. The server never surfaces raw stack traces to clients.

Security

All requests to third-party platforms are authenticated and proxied through Pica's API. The MCP server never handles OAuth tokens or platform API keys directly. The PICA_SECRET key is the sole credential required, and it is automatically redacted from all response payloads returned to clients. Sensitive headers are stripped from logged and returned request configurations.

For fine-grained control, the server supports permission levels (PICA_PERMISSIONS), connection key scoping (PICA_CONNECTION_KEYS), action allowlisting (PICA_ACTION_IDS), and a knowledge-only mode (PICA_KNOWLEDGE_AGENT) that removes execution capabilities entirely. See the Access Control section above for details.

License

MIT

Support

For support, please contact [email protected] or visit https://picaos.com

FAQ

What is the Pica MCP server?
Pica is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Pica?
This profile displays 69 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.

Use Cases

Extended AI Capabilities

Add new capabilities to Claude beyond text generation

Example

Access external data sources, execute code, interact with tools and services

Transform Claude from chatbot to action-taking agent

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

Get more accurate, context-aware responses

Workflow Automation

Automate multi-step workflows combining AI and external tools

Example

Research → Summarize → Create document → Send notification

Complete complex tasks end-to-end without manual steps

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • Basic understanding of MCP architecture and capabilities
  • Access credentials for integrated services (if required)
  • Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • MCP server not loading: Check config syntax, verify installation
  • Connection errors: Check network, firewall, credentials
  • Feature not working: Read server docs, check required parameters
  • Performance issues: Monitor resource usage, check for network latency
  • Conflicts with other servers: Check port assignments, namespace collisions

Best Practices

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • Don't grant overly permissive access to MCP servers
  • Don't skip reading security considerations in docs
  • Don't expose sensitive data without proper controls
  • Don't run untrusted MCP servers without code review
  • Don't ignore error messages—investigate root cause

💡 Pro Tips

  • Combine multiple MCP servers for powerful workflows
  • Create custom MCP servers for your specific needs
  • Share successful configurations with team
  • Use MCP inspector for debugging
  • Join MCP community for tips and troubleshooting

Technical Details

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This

✓ Use When

Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.

✗ Avoid When

Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.

Integration

  • Tool composition: Chain multiple MCP tools in workflows
  • Context augmentation: Provide AI with relevant external data
  • Action delegation: Let AI execute tasks on external systems
  • Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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MCP server reviews

Ratings

4.669 reviews
  • Nikhil Abebe· Dec 24, 2024

    Pica is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Hana Li· Dec 20, 2024

    Pica is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Shikha Mishra· Dec 16, 2024

    Pica has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Kiara Menon· Dec 12, 2024

    Pica has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Sofia Gonzalez· Nov 15, 2024

    We wired Pica into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Kabir Chen· Nov 11, 2024

    We evaluated Pica against two servers with overlapping tools; this profile had the clearer scope statement.

  • Rahul Santra· Nov 7, 2024

    Pica reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Noor Khanna· Nov 3, 2024

    Pica reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Pratham Ware· Oct 26, 2024

    We wired Pica into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Kaira Srinivasan· Oct 22, 2024

    We wired Pica into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

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