Instagram Direct Messages▌
by taskmaster-ai
Access and manage your Instagram Direct Messages with a Python server. Send, read, and retrieve conversations easily usi
Enables reading and sending Instagram direct messages through a Python server that authenticates with Instagram cookies and provides tools for retrieving recent conversations and sending new messages.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / AI assistants managing Instagram communications
- / Automating Instagram customer support
- / Social media management workflows
capabilities
- / Read recent Instagram direct messages
- / Send direct messages to Instagram users
- / Retrieve comprehensive thread information
- / Check server health status
what it does
Enables AI assistants to read your Instagram direct messages and send new DMs by authenticating with your Instagram cookies.
about
Instagram Direct Messages is a community-built MCP server published by taskmaster-ai that provides AI assistants with tools and capabilities via the Model Context Protocol. Access and manage your Instagram Direct Messages with a Python server. Send, read, and retrieve conversations easily usi It is categorized under communication.
how to install
You can install Instagram Direct Messages 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
Instagram Direct Messages is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Instagram DM MCP Server
An MCP (Model-Consumer Protocol) server for Instagram direct messaging functionality, built with fastmcp and instagrapi. This server enables AI assistants to read and send Instagram direct messages.
Current Version: 1.3.5
Features
- Read recent direct messages from your Instagram inbox with comprehensive thread information
- Send direct messages to Instagram users
- Simple greeting resource (example functionality)
- Health check endpoint with status information
- Proper logging to stderr to avoid JSON parsing issues
- Support for various authentication methods, including environment variables
Installation
As an npm package (recommended)
- Install the package globally:
npm install -g instagram-dm-mcp
- Run the setup script to install Python dependencies:
instagram-dm-mcp-setup
- Register the server with Claude Desktop and configure credentials:
instagram-dm-mcp install
You will be prompted to paste in your Instagram cookies information. If you arne't sure how to get this, log into Instagram on Chrome, right-click on the page, and select "Inspect". Go to the "Application" tab, then click on "Cookies" in the left sidebar. You should see a list of cookies. Copy the values for sessionid, csrftoken, and ds_user_id.
The install command will automatically register the Instagram DM MCP server with Claude Desktop and add it to your Claude Desktop configuration file. The command will configure the server to use the npx approach, which makes it easier to maintain. You can also copy-paste the same setup to Claude or any other MCP client.
You can provide Instagram credentials in several ways:
-
Using command-line arguments:
instagram-dm-mcp install --session-id YOUR_SESSION_ID --csrf-token YOUR_CSRF_TOKEN --ds-user-id YOUR_DS_USER_ID -
Using a credentials file:
instagram-dm-mcp install --from-file /path/to/instagram_cookies.json -
Using environment variables (INSTAGRAM_SESSION_ID, INSTAGRAM_CSRF_TOKEN, and INSTAGRAM_DS_USER_ID)
The installer will add these credentials as environment variables in the Claude Desktop configuration file, creating a configuration like this:
"mcpServers": {
// other servers...
"InstagramDM": {
"command": "npx",
"args": [
"-y",
"instagram-dm-mcp",
"start"
],
"env": {
"INSTAGRAM_SESSION_ID": "your-session-id",
"INSTAGRAM_CSRF_TOKEN": "your-csrf-token",
"INSTAGRAM_DS_USER_ID": "your-ds-user-id"
}
}
}
FAQ
- What is the Instagram Direct Messages MCP server?
- Instagram Direct Messages 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 Instagram Direct Messages?
- This profile displays 36 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.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 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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Ratings
4.6★★★★★36 reviews- ★★★★★Ganesh Mohane· Dec 16, 2024
I recommend Instagram Direct Messages for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Ama Martin· Dec 16, 2024
According to our notes, Instagram Direct Messages benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Shikha Mishra· Dec 12, 2024
Instagram Direct Messages has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Ama Yang· Nov 19, 2024
We evaluated Instagram Direct Messages against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Nia Choi· Nov 15, 2024
Instagram Direct Messages has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Sakshi Patil· Nov 7, 2024
Strong directory entry: Instagram Direct Messages surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Mateo Dixit· Nov 7, 2024
Useful MCP listing: Instagram Direct Messages is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Chaitanya Patil· Oct 26, 2024
Instagram Direct Messages is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Mateo Kapoor· Oct 26, 2024
Instagram Direct Messages is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Harper Diallo· Oct 10, 2024
Instagram Direct Messages has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
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