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  3. Bitcoin MCP
Bitcoin MCP logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 1:32:15 PM

Bitcoin MCP

User RatingsBe the first to rate and review this MCP server!
View Repository3 GitHub StarsTotal stargazers on GitHub for the source repository (3 stars).Visit Website
bitcoinblockchainfinancemcpdeveloper-tools

Connects AI agents to Bitcoin Core or a compatible API for fee analysis, blockchain inspection, mempool data, and network insights.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
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We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "bortlesboat-bitcoin-mcp": {
      "command": "uvx",
      "args": [
        "--from"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’° More in Finance & Fintech

Overview

Bortlesboat/bitcoin-mcp MCP server gives AI agents access to Bitcoin Core or a compatible remote API for blockchain, fee, mempool, mining, address, and market data. It provides 50 standard tools, 6 prompts, and 8 resources, including fee recommendations, transaction inspection, block analysis, BTC pricing, and optional transaction broadcasting. Use it when an agent needs current Bitcoin network information or transaction cost guidance backed by a node or explicitly configured API. A local Bitcoin Core/Knots node is auto-detected through cookie or RPC settings, while remote deployments use the Satoshi API configuration.

Use cases

β€’Compare Bitcoin fee rates across confirmation targets
β€’Analyze current mempool congestion and fee floors
β€’Inspect blocks, transactions, addresses, and UTXOs
β€’Summarize Bitcoin price, mining, fee, and network conditions
β€’Broadcast a signed raw Bitcoin transaction

Key features

β€’Bitcoin Core and Knots RPC support
β€’Compatible remote API backend support
β€’Fee recommendations and transaction cost estimates
β€’Block, transaction, mempool, and mining analysis
β€’Address, UTXO, price, and market data tools
β€’MCP prompts and resources for Bitcoin workflows

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Bitcoin MCP.

Extracted Tool Capabilities
Bitcoin Core and Knots RPC support
Compatible remote API backend support
Fee recommendations and transaction cost estimates
Block, transaction, mempool, and mining analysis
Address, UTXO, price, and market data tools
MCP prompts and resources for Bitcoin workflows

How Bitcoin MCP works

What Bortlesboat/bitcoin-mcp MCP server does

Bortlesboat/bitcoin-mcp MCP server exposes Bitcoin data and operations to MCP-compatible AI clients. Its capabilities cover fee estimation, transaction and block inspection, mempool analysis, mining statistics, network status, address validation, UTXO queries, BTC pricing, and market sentiment. The repository documents 50 standard tools, 6 prompts, and 8 resources.

The server is suited to agents that need current chain information rather than static reference data. For example, an agent can compare confirmation-target fee estimates, inspect a transaction, summarize current network conditions, or determine whether sending now is preferable to waiting for lower fees. The tool list also includes send_raw_transaction, so deployments should account for the consequences of exposing a backend that can broadcast signed transactions.

How it works

Bortlesboat/bitcoin-mcp MCP server uses a Bitcoin data backend. It can connect to a local Bitcoin Core or Knots node by discovering its cookie or using configured RPC settings. The README also supports an explicitly configured compatible remote API through SATOSHI_API_URL; SATOSHI_API_KEY can be supplied when that API requires it.

The agent communicates with the server over the MCP process started by the client. Fee-related tools return rates in satoshis per virtual byte and can compare different confirmation targets. Other tools query chain state, blocks, transactions, mempool entries, mining data, addresses, and UTXOs. Address balance and history tools require a blockchain indexer, so those functions depend on backend capabilities beyond basic node access.

Setup and configuration

Install the current GitHub source with uvx in an MCP client configuration:

config.json
{
  "command": "uvx",
  "args": ["--from", "git+https://github.com/Bortlesboat/bitcoin-mcp.git", "bitcoin-mcp"]
}

The README provides configurations for Claude Desktop, Cursor, VS Code, and Zed, as well as a Claude Code command. Docker and Docker Compose are also documented. When running in Docker, pass the backend settings into the container, such as BITCOIN_RPC_HOST, BITCOIN_RPC_PORT, or SATOSHI_API_URL.

The repository states that the public API previously hosted at bitcoinsapi.com is paused and should not be treated as a default endpoint. Configure a local node or a known compatible API instead. It also notes that the current GitHub source contains fixes not present in PyPI release 0.5.1 as of September 7, 2026.

Tools and capabilities

Bortlesboat/bitcoin-mcp MCP server groups its tools into several functional areas:

  • Recommend fees, estimate confirmation-target fees, compare fee sources, and estimate transaction costs.
  • Analyze blocks and transactions, decode raw transaction hex, inspect UTXOs, and broadcast signed transactions.
  • Measure mempool size, fee floor, congestion, transaction entries, and ancestor chains.
  • Report mining difficulty, hashrate, block rewards, pool rankings, difficulty changes, and halving timing.
  • Inspect chain state, peers, network status, chain tips, throughput, supply, and node health.
  • Validate addresses and retrieve address UTXOs; indexed deployments add address balances and transaction histories.
  • Retrieve BTC/USD price data, market sentiment, and an aggregated Bitcoin situation summary.

Limitations and notes

A backend is required; installing the MCP package alone does not provide Bitcoin data. Local-node access depends on reachable Bitcoin Core or Knots RPC settings, while remote access depends on a compatible API and any credentials it requires. Indexed address features require a blockchain indexer. The README also distinguishes the current GitHub source from the older PyPI release, so package-source selection matters when configuring a client.

The project is MIT licensed. It is self-hosted software, but using a remote API may introduce separate availability, authentication, or service constraints that are not defined by the MCP server itself.

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
3
Stargazers on the source repository.
Last commit
4d ago
Most recent push to the default branch.
Directory activity
3 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Bitcoin MCP

Configure an MCP client to run `uvx --from git+https://github.com/Bortlesboat/bitcoin-mcp.git bitcoin-mcp`. The README also documents Docker and Docker Compose options.

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Technical Specs & Signals

CategoryπŸ’°Finance & Fintech
PricingFree
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimePython
AuthOther
LicenseMIT
ClientsClaude Desktop, Cursor
Last updatedSep 7, 2026
10/10 checks healthy over the last 32d
Views3
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars3
GitHub Star CountTotal stargazers on GitHub representing community popularity (3 stars).
Last commit4d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Sep 7, 2026
53Quality signal: Good Β· 53/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools25/30
Adoption & activity5/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 21d ago via OSV.dev Β· --from (PyPI)

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