tapscript-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@tapscript-mcptranspose the score to Bb major and compile to MIDI"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
tapscript-mcp
A Model Context Protocol server for TapScript, so any agent can read, write and compile music notation — and so several agents can work on one score at the same time without overwriting each other.
tapscript-mcp # JSON-RPC over stdio, what most clients expect
tapscript-mcp --http # loopback HTTP, for remote and multi-agent setups
tapscript-mcp --list-tools # what it exposesInstall
pip install git+https://github.com/SuperInstance/tapscript-mcpThat brings in the compiler as well. Neither has any other dependency: the protocol, both transports, the session store and the compiler itself are written against the standard library. Python 3.10 or newer.
The compiler is currently pulled from a branch of tapscript-studio rather than from its default branch, because the package this builds on is still in review there. Installing works; the pin moves the day that merges.
Related MCP server: Dorico MCP Server
Point a client at it
For a client that launches servers over stdio, the usual shape is:
{
"mcpServers": {
"tapscript": {
"command": "tapscript-mcp"
}
}
}Then ask it for music. The server exposes 27 tools, which is everything the
tapscript CLI can do — write and validate notation, compile to MIDI and
audio, transpose, search a library of several thousand pieces, analyse what
each listener on a stage actually hears, and probe what the host machine can
render.
Many agents, one score
The reason this exists. A session gives every agent a voice of its own:
ensemble_open name a session, set key, tempo and metre
ensemble_join claim a voice -- one owner at a time
ensemble_read the whole current state, in one call
ensemble_write_part write your voice, against the version you read
ensemble_render merge the parts and compile
ensemble_log what everyone has doneBecause the parts are disjoint, the common case never conflicts — two agents writing two voices both succeed. When two do collide, the later write is refused and handed the current state to rebase onto, rather than silently overwriting somebody's work. Locks are held only around a read-modify-write of the manifest, never across a call to a model, because a model call takes seconds and a lock held that long is a lock nobody else can get.
Notation is parsed before a part is accepted, so invalid notation never lands. Writes are atomic, the merge is deterministic, and every change appends to a log a joining agent can read to find out what has happened so far.
See docs/ensemble.md for the whole protocol and docs/mcp.md for the tool and resource surface.
Reading a score as features
analyze_features computes sixteen per-bar features — note density, harmonic
tension, syncopation, contour direction, register spread and so on — matching
the vocabulary fleet-jepa-midi
perceives. That lets a bandleader read a written score, and makes a corpus of
notation usable as labelled training data.
Where this came from
This began inside the compiler's repository and was extracted once it was clear
it had become its own thing rather than a feature of the compiler. Two names had
also collided along the way: the analysis of who hears what on a physical stage,
and a session shared by several agents, were both called "ensemble". The first
is now tapscript stage and lives with the compiler; the second is what this
repository means by the word.
The compiler still ships a copy of this server, which is what its tapscript mcp command runs. That copy is being retired — install from here.
Status
The protocol is exercised by a test suite that drives the server with real
JSON-RPC: the initialize handshake, tools/list, tools/call, malformed
input, unknown methods, notifications, and a tool that raises. Concurrency is
tested with threads racing for the same voice, and merge determinism is checked
by writing the same parts in three different orders and comparing bytes rather
than assuming.
CI runs the suite on Python 3.10 through 3.13 across Linux, macOS and Windows, and then speaks the protocol to the built server over a pipe, so a handshake that regresses fails the build rather than a mock of one.
No third-party MCP client has connected to it yet. The protocol behaviour is verified against the specification rather than against a particular client — strong evidence, and not the same thing. Doing that is the most useful thing anyone could contribute.
90 tests.
Licence
MIT. See LICENSE.
Maintenance
Resources
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