lofty-mcp
MCP server for Lofty CRM. Enables managing leads, tasks, calendar, communications, and notes via the Lofty REST API.
README
lofty-mcp
An MCP server that gives Claude tools to work with a Lofty CRM account — leads, tasks/appointments, calendar, communications, and notes — by calling Lofty's REST API directly.
Why REST, not lofty-cli
This project started as a wrapper around Lofty's official CLI (@loftyai/lofty-cli), on
the reasoning that the CLI would save us from reimplementing OAuth and from handling
64-bit lead/task IDs ourselves. That design was abandoned after hitting a real,
irreconcilable credential mismatch — documented here so it isn't rediscovered the hard
way:
- The only credential available for this project is a Lofty personal-access API key (generated in the CRM under Settings → Integrations → API).
- That credential authenticates over HTTP as
Authorization: token <key>— confirmed empirically againsthttps://api.lofty.com(GET /v1.0/leads→200 OKwith real data). lofty-clionly speaks OAuth Bearer tokens. Every one of its auth methods (Direct Token, Token URL, Browser OAuth, Client Credentials) ends in anAuthorization: Bearer <token>header. Feeding it the API key produces a real rejection from Lofty's own server:Error 400: {"code":200058,"message":"User in token does not exist."}— not a config problem, a protocol mismatch. The same request succeeds instantly withAuthorization: token <key>instead ofBearer.- Getting a CLI-compatible credential would mean either running a full browser OAuth flow to mint an access/refresh token pair, or registering an OAuth app in Lofty's Developer Portal for the Client Credentials flow — neither of which was available.
Given the working credential is REST-only, wrapping the CLI was never going to work, so
the server now calls https://api.lofty.com directly (see
src/lofty_mcp/rest_client.py). This turned out to be a
simplification, not just a workaround:
- No token refresh logic. A personal-access API key doesn't expire on the
short-lived OAuth cycle an access/refresh pair does — there's nothing to refresh. If
it does stop working, the fix is regenerating it in the CRM, not a retry loop (see
LoftyApiErrorinrest_client.py). - No 64-bit ID precision handling. Lofty's lead/task IDs are 64-bit integers, which
is a real hazard in JavaScript (
Numberloses precision above 2^53). Python'sintis arbitrary-precision, so this was a genuine source of care in an earlier TypeScript/CLI prototype and simply isn't a concern here. - Full, authoritative API surface for free. Lofty publishes a complete OpenAPI spec
(
specs/openapi.json, 102 operations across 27 resources) — a far more reliable source than scraping the CLI's--helptext and prose docs, which is what the earlier prototype had to do.specs/rest/*.jsonis generated straight from it (seespecs/README.md).
Authentication
Single env var: LOFTY_API_KEY, sent as Authorization: token <key>. Get it from the
Lofty CRM under Settings → Integrations → API. Put it in a .env file at the repo
root (not committed — see .gitignore):
LOFTY_API_KEY=your-key-here
If it stops working, calls fail with a clear LoftyApiError pointing back at that same
settings page — there is no refresh path, so regenerating the key is the fix.
Project layout
src/lofty_mcp/
server.py entrypoint: MCPServer, lifespan-injected httpx client, transport selection
rest_client.py HTTP client: base URL, auth header, error mapping
tools/ one module per resource (leads, tasks, calendar, communication, notes, whoami)
specs/
openapi.json Lofty's full OpenAPI spec (source of truth)
rest/*.json generated per-resource summaries (see specs/README.md)
scripts/
generate_rest_specs.py regenerates specs/rest/*.json from specs/openapi.json
mcp_test_harness.py reliable stdio request/response harness for smoke-testing
Dockerfile plain python:3.12-slim, no CLI binary needed
Makefile build/run/register/teardown commands (see below)
Every tool carries MCP ToolAnnotations
(readOnlyHint/destructiveHint/idempotentHint) — reads are marked read-only,
creates/sends are marked non-idempotent, updates/deletes are marked destructive — so a
well-behaved client can decide what to auto-approve vs. confirm. These are hints, not
enforcement: nothing in this server itself blocks a destructive call.
Setup
Requires Docker. Everything — build, run, test — happens inside containers; nothing from this project's dependency stack is installed on the host.
make help # list all commands
make build # docker build the image
make test # run scripts/mcp_test_harness.py against it (real API calls)
Connecting to Claude Code
make up # builds the image, registers it in .mcp.json
This writes a lofty entry into the project's .mcp.json
(command: docker, args: [run, -i, --rm, --env-file, <path>, lofty-mcp:py]). Claude
Code auto-detects project-scoped .mcp.json files — restart the session (or run /mcp)
and approve the new server when prompted. make down removes the entry.
Each session spawns a fresh docker run -i --rm process over stdio; Docker tears it
down automatically when the session ends, so there's no separate container lifecycle to
manage here.
Connecting to a remote client (e.g. Cowork)
make http-up # runs the server in Streamable HTTP mode + a cloudflared quick tunnel
make http-down # tears both down
Remote connectors (Anthropic's Cowork "Add custom connector" dialog, or anything else
that talks to an MCP server over HTTP rather than spawning a local process) need a real
HTTPS URL, since they run in the cloud and can't spawn processes on your machine. make http-up runs the server bound to 0.0.0.0:8000 and fronts it with cloudflared tunnel --url (no account needed, but the URL is random and changes every run).
⚠️ This has no authentication — do not leave it running
The HTTP endpoint accepts requests from anyone who has the URL. There is currently
no bearer token, no OAuth, nothing checking who's calling — only LOFTY_API_KEY baked
into the container's own environment. Whoever holds the tunnel URL can call every tool
in this server against the real Lofty account, including sends (SMS/email) and deletes.
This is acceptable for the way make http-up is meant to be used: a short-lived local
test, torn down with make http-down right after. It is not acceptable as a
standing deployment. The "Add custom connector" dialog itself has OAuth Client ID /
OAuth Client Secret fields for exactly this reason — before this server is exposed
anywhere longer-lived than a quick local tunnel, it needs an actual authorization layer
in front of the Streamable HTTP endpoint. Two ways to get there, roughly in order of
effort:
- A bearer token gate. Cheapest option: require a shared secret in an
Authorizationheader on every request to/mcp, checked in an ASGI middleware before it reaches the MCP app. Not OAuth, but closes the "anyone with the URL" hole. - A real OAuth 2.1 authorization server, per the MCP Authorization spec. This is what the Cowork dialog's OAuth fields expect: the MCP server acts as an OAuth resource server, validating bearer tokens issued by a separate authorization server (self-hosted, or a hosted provider like Auth0/WorkOS/Stytch). This is the correct answer for anything beyond solo local testing, but it's a genuinely separate piece of infrastructure — an OAuth server, client registration, token issuance and validation — not a config flag. Nothing in this repo implements it yet.
Also worth knowing: run_streamable_http_async's DNS-rebinding protection
(transport_security) is left at the SDK's default, which is disabled unless
explicitly configured (see src/lofty_mcp/server.py) — another gap that matters once
this is reachable from anywhere untrusted.
Adding a new tool
Every resource in specs/rest/*.json not yet wired up (see specs/rest/index.json's
resources list for what's implemented vs. pending) follows the same pattern as the
existing ones:
- Read the resource's spec file for exact paths/params (or
specs/openapi.jsondirectly for full request/response schemas). - Add
src/lofty_mcp/tools/<resource>.pywith aregister(mcp)function, one@mcp.tool(annotations=ToolAnnotations(...))-decorated function per operation, callingrest_client.request(). - Register it in
src/lofty_mcp/tools/__init__.py. make testto confirm it works against the real API.
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