Bitcoin Stratigraphy MCP
officialAn enterprise-grade, L402-gated AI Notary Hub and MCP data server vending thermodynamic Bitcoin telemetry and OpenTimestamps state anchoring.
What can you do with Bitcoin Stratigraphy MCP?
- Discover indexed stratigraphy data — Ask your AI to call
stratigraphy.listto see available dates, heights, bounds, and metrics. - List proof operations — Use
proof.listto check supported notarization and verification schemas before making paid calls. - Request notarization batches — Ask for a
proof.notarizechallenge with a 100-call L402 batch, then pay via Lightning to anchor a hash on Bitcoin. - Run free sandbox clients — Execute the wallet-free Node or Python examples to test MCP connectivity without signing or paying.
- Build a LangChain ReAct agent — Set up a free-tool-only agent that queries stratigraphy and proof metadata using the documented MCP adapter.
Hosted MCP Server
npx add-mcp 'https://bitcoin-stratigraphy-dashboard.replit.app/mcp'Installs into Claude Code, Codex, Cursor and more
Documentation
Bitcoin Stratigraphy MCP — Developer Distribution
Release: 1.1.0 · MCP registry name: crstrogish/bitcoin-stratigraphy
A standalone, remote-first integration repository for the Bitcoin Stratigraphy MCP engine: registry metadata, OpenAPI contracts, dependency-free clients, and native framework agent examples. No Replit workspace, wallet, API key, or model provider account is needed for the free sandbox.
Scope and security status
This bundle connects to the hosted engine; it does not contain or claim to run the complete settlement server offline. Client sources can be run locally against the live service or an independently operated compatible MCP endpoint. There are no workspace aliases, vendored credentials, private signing keys, operator state, or dependency on a parent repository.
LangChain execution is supported. LlamaIndex source is preserved, but dependency installation and execution are temporarily unavailable: its NLTK dependency is affected by GHSA-8mgp-746c-j5xp. The LlamaIndex requirements file intentionally installs nothing. Do not bypass security checks or treat the badge as a claim of supported execution. Restore installation only after auditing a safe, complete dependency tree.
Connect to the live MCP engine
| Surface | URL |
|---|---|
| Streamable HTTP MCP | https://bitcoin-stratigraphy-dashboard.replit.app/mcp |
| Developer portal | https://bitcoin-stratigraphy-dashboard.replit.app/docs |
| Live OpenAPI | https://bitcoin-stratigraphy-dashboard.replit.app/openapi.json |
Use the MCP URL in any Streamable HTTP client. Import mcp.json where your client supports URL-based MCP configuration; some hosts require an explicit transport type in their own configuration format. smithery.yaml is canonical remote registration metadata, not a local-server launch recipe.
The server advertises 15 canonical capabilities. initialize and tools/list
are free protocol discovery operations. Exactly two tool executions are free:
| Tool | Arguments | Purpose |
|---|---|---|
stratigraphy.list | {} | Discover indexed dates/heights, bounds, and available metrics |
proof.list | {} | List supported proof operations and schema metadata |
Catalog discovery is not payment authorization. Other canonical tools require paid access; query live schemas and payment terms before authorizing purchases.
Free sandbox quickstart — no wallet
Node.js 22 or newer
From this repository's root, with no package installation:
node examples/free-sandbox.mjs
This negotiates MCP, sends the initialized notification, then calls only
stratigraphy.list and proof.list. It does not sign, pay, attach credentials, or
make LLM requests. It fails rather than paying if a free call returns HTTP 402.
To use your own compatible endpoint:
node examples/free-sandbox.mjs --url http://127.0.0.1:5000/mcp
This is a client connection, not a command to start the production engine.
Python 3.11 or newer
The bundled client works with the standard library; no framework installation is required:
python -m examples.free_sandbox
Equivalent copy-paste Python:
from sdk.python.client import BitcoinStratigraphyClient
client = BitcoinStratigraphyClient()
print(client.call_tool("stratigraphy.list", {}))
print(client.call_tool("proof.list", {}))
Run code from the repository root so the sdk namespace is importable. TLS
verification remains enabled. If your organization uses a private CA, configure
its trusted certificate store; do not disable verification.
L402: 100-call Macro-Macaroon batches
Paid capabilities use tool-scoped credentials. To request a batch, include:
X-L402-Batch-Size: 100
For example, this request asks for a notarization batch challenge; it does not pay an invoice:
curl --include --request POST \
'https://bitcoin-stratigraphy-dashboard.replit.app/mcp' \
--header 'Content-Type: application/json' \
--header 'Accept: application/json, text/event-stream' \
--header 'X-L402-Batch-Size: 100' \
--data '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"proof.notarize","arguments":{"hash":"aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa"}}}'
- Inspect HTTP 402, the L402
WWW-Authenticatechallenge, invoice amount, expiry, and exact tool scope. - Pay only through a trusted Lightning wallet/client with explicit spending limits. Verify the settlement proof matches the challenged payment hash.
- Retry the same tool call with the batch header and:
Authorization: L402 <macaroon>:<preimage>
X-L402-Batch-Size: 100
The registered notarization quote is 250 sats/call × 100 = 25,000 sats.
The live invoice is authoritative; registry target-price examples are not a
price guarantee. A proof.notarize pass does not unlock other paid tools.
Budgets, expiration, revocation, and inherited caveats still apply on every use.
Attenuation delegates or narrows scope; it does not reset the parent budget.
Native framework adapters are not wallets. Provide a prepaid credential via
L402_AUTHORIZATION, or a trusted loopback Streamable HTTP wallet proxy via
L402_PROXY_URL with explicit spending limits. Do not commit either credentials
or model-provider secrets. The older one-shot SDK payment callbacks are not
automatic Macro-Macaroon batching implementations.
LangChain: native MCP and ReAct loops
Use a separate consumer Python environment, not an older MCP 1.x environment:
python -m pip install -r cookbooks/requirements-langchain.txt
python cookbooks/langchain_agent.py
Default mode discovers tools only. To opt into an LLM and paid notarization,
configure your provider key and a prepaid proof.notarize batch credential
through your secret manager, then run:
python cookbooks/langchain_agent.py --run
Copy-paste free-tool-only ReAct loop (MCP calls are free; model usage is billed by your model provider):
import asyncio
from fastmcp.client import Client
from fastmcp.client.transports import StreamableHttpTransport
from langchain.mcp import MCPAdapter
from langchain.agents import create_agent
from langchain_openai import ChatOpenAI
async def main():
transport = StreamableHttpTransport(
url="https://bitcoin-stratigraphy-dashboard.replit.app/mcp"
)
client = Client(transport, mode="legacy", timeout=30)
async with MCPAdapter(client) as adapter:
tools = await adapter.list_tools()
free = [
t.model_copy(update={"name": t.name.replace(".", "_")})
for t in tools if t.name in {"stratigraphy.list", "proof.list"}
]
if len(free) != 2:
raise RuntimeError("Expected both free sandbox capabilities")
agent = create_agent(
model=ChatOpenAI(model="gpt-4.1-mini", temperature=0),
tools=free,
system_prompt="Use only these discovery tools. Report actual results.",
)
result = await agent.ainvoke(
{"messages": [{"role": "user", "content":
"List indexed stratigraphy bounds and supported proof operations."}]}
)
print(result["messages"][-1].content)
asyncio.run(main())
create_agent implements the current ReAct model → tool → observation loop.
Underscore aliases satisfy model-provider naming rules; the wrappers retain the
original dotted remote tool names.
LlamaIndex: preserved native agent example
Source-only until the dependency security hold is lifted. The following copy-paste example documents the supported API shape for a future audited environment; it is not an instruction to install vulnerable dependencies now. The full paid-notarization example is cookbooks/llamaindex_agent.py.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import ReActAgent
from llama_index.llms.openai import OpenAI
async def main():
client = BasicMCPClient(
"https://bitcoin-stratigraphy-dashboard.replit.app/mcp", timeout=30
)
try:
tools = await McpToolSpec(client=client).to_tool_list_async()
free = [t for t in tools if t.metadata.name in
{"stratigraphy.list", "proof.list"}]
if len(free) != 2:
raise RuntimeError("Expected both free sandbox capabilities")
for tool in free:
tool.metadata.name = tool.metadata.name.replace(".", "_")
agent = ReActAgent(
tools=free,
llm=OpenAI(model="gpt-4.1-mini", temperature=0),
system_prompt="Use only the discovery tools. Report actual results.",
timeout=90,
)
response = await agent.run(
user_msg="List indexed stratigraphy bounds and supported proof operations."
)
print(str(response))
finally:
await client.http_client.aclose()
asyncio.run(main())
Model credentials and charges are separate from MCP payments.
TypeScript SDK
sdk/typescript contains both the REST client and MCP client sources, independent compiler configurations, local tests, and its own package manifest. SDK version 0.1.0 is independent of registry release 1.1.0.
cd sdk/typescript
npm install
npm test
npm run build
The root package manifest retains the canonical MCP registry identity and release version but replaces monorepo scripts/dependencies with portable distribution commands. It is not the private workspace orchestration manifest.
Repository contents and export checks
README.md Distribution and operational guide
package.json Portable MCP metadata and sandbox/test commands
smithery.yaml Canonical remote registration manifest
mcp.json Remote MCP client configuration
openapi.yaml Canonical self-contained REST/OpenAPI contract
openapi.json JSON rendering of the same canonical contract
LICENSE MIT license
cookbooks/ Native framework sources, requirements, and offline tests
sdk/typescript/ TypeScript REST/MCP clients and standalone package
sdk/python/ Python REST/MCP clients and offline tests
examples/ Wallet-free Node/Python sandbox entrypoints
test/ Node sandbox transport and safety tests
scripts/verify-export.mjs Portable structure, import, and reference checks
npm run verify
npm test
python -m unittest discover -s cookbooks -p 'test_*.py'
python -m unittest discover -s sdk/python -p 'test_*.py'
verify checks relative source imports and Markdown file references, script and
SDK package paths, JSON syntax, and absence of workspace dependency aliases.
Compile Python and build the SDK as additional syntax checks. Tests are offline
unless you explicitly run a sandbox or agent entrypoint.
Operational boundaries
- Indexed stratigraphy heights are a documented daily-data index, not the live Bitcoin tip or native per-block provenance.
- OTS calendar acceptance is not Bitcoin confirmation. Preserve the detached receipt and verify its matching digest and Bitcoin attestation separately.
- Grounding signatures, ZK proofs, and OTS receipts establish different facts; do not describe one as another.
- SDKs stop on payment errors. Do not retry paid calls blindly or log payment proofs. Store credentials in a secret manager and review spending and tool scope before enabling an agent.
- The OpenAPI contract covers REST; live MCP
tools/listdescribes executable MCP schemas. OpenAPI schema version and SDK version need not match the registry release. - Audit optional framework dependencies before installing or updating them. No local wallet, signing, or settlement credentials are shipped.
License
MIT. See LICENSE. Frameworks and optional dependencies retain their own licenses and terms.
🤖 CrewAI Integration
The Bitcoin Stratigraphy Data Engine natively supports CrewAI's MCPServerAdapter. Drop this snippet into your workflow to instantly equip your agents with thermodynamic tools and OpenTimestamps state anchoring:
pip install crewai-tools[mcp]
Check crewai_cookbook.py for the full agent execution script.