developer-tools

NEAR MCP

nearai

by nearai

Interact with the NEAR blockchain via NEAR MCP — fast NEAR RPC access and developer API calls to build and test NEAR dAp

Interact with the NEAR blockchain through MCP calls

github stars

27

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

Local keystore managementCryptographic signing capabilitiesWorks with Claude and other MCP clients

best for

  • / Blockchain developers building NEAR applications
  • / AI agents needing NEAR blockchain access
  • / Automating NEAR account operations

capabilities

  • / Manage NEAR account keypairs in local keystore
  • / Create new NEAR accounts and implicit accounts
  • / Sign and verify data cryptographically
  • / Query account information and balances
  • / Search for fungible token contracts
  • / Import and export NEAR accounts

what it does

Provides MCP tools for interacting with the NEAR blockchain including account management, token operations, and cryptographic signing.

about

NEAR MCP is an official MCP server published by nearai that provides AI assistants with tools and capabilities via the Model Context Protocol. Interact with the NEAR blockchain via NEAR MCP — fast NEAR RPC access and developer API calls to build and test NEAR dAp It is categorized under developer tools. This server exposes 23 tools that AI clients can invoke during conversations and coding sessions.

how to install

You can install NEAR MCP 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

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

readme

NEAR MCP Logo
[![npm version](https://badge.fury.io/js/@nearai%2Fnear-mcp.svg)](https://badge.fury.io/js/@nearai%2Fnear-mcp) [![Telegram](https://img.shields.io/badge/Dev_Support-2CA5E0?style=flat&logo=telegram&logoColor=white)](https://t.me/nearaialpha) # NEAR MCP This project is a Model Context Protocol ([MCP](https://github.com/modelcontextprotocol)) compatible server for interacting with the [NEAR blockchain](https://near.org/). This tool provides a way for LLMs and AI agents to securely access and interact with NEAR accounts and blockchain functionality. ## Quickstart Here is how to get started with the near-mcp server quickly with the `claude` code cli ``` npm install -g @anthropic-ai/claude-code claude mcp add near-mcp npx @nearai/near-mcp@latest run claude ``` Or deploy the MCP server remotely on Phala Cloud, check the instructions [here](./tee.md) ## Installing `near-mcp` is meant to be used is with an MCP compatible client. Learn more in the [MCP docs](https://modelcontextprotocol.io/introduction) Adding to the [`claude` code](https://docs.anthropic.com/en/docs/agents-and-tools/claude-code/overview) cli: ```bash claude mcp add near-mcp npx @nearai/near-mcp@latest run ``` Adding to claude desktop via JSON config: ```json { "mcpServers": { "near-mcp": { "command": "npx", "args": ["-y", "@nearai/near-mcp@latest", "run"], "env": {} } } } ``` Adding to [`goose`](https://block.github.io/goose/) ``` ┌ goose-configure │ ◇ What would you like to configure? │ Add Extension │ ◇ What type of extension would you like to add? │ Command-line Extension │ ◇ What would you like to call this extension? │ near-mcp │ ◇ What command should be run? │ npx @nearai/near-mcp@latest run │ ◇ Please set the timeout for this tool (in secs): │ 60 │ ◇ Would you like to add environment variables? │ No │ └ Added near-mcp extension ``` Or you can install it globally and use it directly. ```bash # Install globally npm install -g @nearai/near-mcp@latest # Or use directly with npx npx @nearai/near-mcp@latest run ``` ## Available Tools see [TOOLS.md](./TOOLS.md) for a list of available tools and arguments. ## Integration with AI Models This tool is designed to be used with AI models that support the [Model Context Protocol](https://github.com/modelcontextprotocol). It enables AI assistants to: 1. Manage NEAR accounts on behalf of users 2. Check account balances and status 3. Sign and send transactions 4. Create new accounts and manage access keys 5. Inspect and execution smart contracts ## Security Considerations - This MCP is meant to be run locally. Account private keys are stored in a local unencrypted keystore where the MCP server is running. - The underlying models should not have access to see the private keys of the accounts they are interacting with with _one exception_. The `import_account` tool allows the model to import an account from a private key. This requires the user to provide the private key to the model. ## Contributing We welcome contributions to the NEAR MCP server! Please see the [CONTRIBUTING.md](CONTRIBUTING.md) file for more information. ### Reporting Issues If you find a bug or have a feature request, please open an issue on the GitHub repository.

FAQ

What is the NEAR MCP MCP server?
NEAR MCP 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 NEAR MCP?
This profile displays 51 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.8 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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Ratings

4.851 reviews
  • Alexander Rao· Dec 24, 2024

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

  • Xiao Flores· Dec 24, 2024

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

  • Pratham Ware· Dec 20, 2024

    According to our notes, NEAR MCP benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Hassan Okafor· Dec 20, 2024

    Strong directory entry: NEAR MCP surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Hana Johnson· Dec 16, 2024

    According to our notes, NEAR MCP benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Dhruvi Jain· Dec 12, 2024

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

  • Zara Sanchez· Dec 8, 2024

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

  • Luis Martinez· Nov 27, 2024

    I recommend NEAR MCP for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Hassan Mensah· Nov 15, 2024

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

  • Jin Park· Nov 11, 2024

    Useful MCP listing: NEAR MCP is the kind of server we cite when onboarding engineers to host + tool permissions.

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