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symbolic_math_mcp

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MCP server for symbolic math derivation, calculation, and verification

1 stars PythonOthers Updated Jul 17, 2026
llmllm-toolsllmsmathmathematicsmcpmcp-serversymbolic-aisymbolic-computationsymbolic-mathsymbolic-reasoningsymbolic-regressionai

Documentation

symbolic_math_mcp

Symbolically verify any equation and calculation

Requirements

  • Python 3.11+
  • `fastmcp>=3.4.2`
  • `symbolic-math-verify>=0.1.4`

Install

bash
python3 -m venv .venv
.venv/bin/python -m pip install --upgrade pip
.venv/bin/python -m pip install -e .

Configuration

Default configuration file: config.json

json
{
  "mcp_server_name": "My Symbolic Math MCP Server",
  "mcp_server_url": "http://localhost:8753",
  "max_requests": 10,
  "total_timeout": 600
}

Notes

  • `stdio://...` runs the server over stdio.
  • `http://...` runs the server over FastMCP's streamable HTTP transport.
  • `https://...` is accepted by the config parser and uses the HTTP transport settings. In practice, TLS is typically terminated by a reverse proxy in front of the process.

Run

From the project directory:

bash
.venv/bin/python run_server.py --config config.json

Or after installation:

bash
symbolic-math-mcp --config config.json

Tool API

`check_symbolic_math(filename)`

  • input: absolute path to a `.yaml` symbolic math file
  • behavior: blocks until `verify_yaml_file(filename)` completes or times out

Successful completion:

json
{
  "status": "Tool call completed!",
  "filename": "proof.yaml",
  "result": "Math proofs are valid"
}

Timeout:

json
{
  "status": "Tool call has timed out!",
  "filename": "proof.yaml",
  "result": "TIMEOUT ERROR!"
}

File not found:

json
{
  "status": "Tool call cannot find the file based on the filename!",
  "filename": "proof.yaml",
  "result": "FILE NOT FOUND!"
}

File read error:

json
{
  "status": "Tool call cannot read the file!",
  "filename": "proof.yaml",
  "result": "FILE CANNOT BE READ!"
}

Unknown error:

json
{
  "status": "Tool call has unknown error!",
  "filename": "proof.yaml",
  "result": "UNKNOWN ERROR!"
}

`check_symbolic_math_parallel(dir_path)`

  • input: absolute directory path containing one or more `.yaml` symbolic math files
  • behavior: starts verification for each `.yaml` file in parallel, bounded by `max_requests`, and blocks until all checks finish or the total timeout is exceeded
  • result keys: absolute file paths for each `.yaml` file found in `dir_path`
  • failure behavior: if `dir_path` is missing, not absolute, unreadable, or contains no `.yaml` files, the tool returns the same structured error shape used by `check_symbolic_math`

Successful completion:

json
{
  "status": "Parallel Tool call completed!",
  "dir_path": "/abs/path/to/proofs",
  "result": {
    "/abs/path/to/proofs/one.yaml": "Math proofs are valid",
    "/abs/path/to/proofs/two.yaml": "Error! Math proofs are invalid"
  }
}

Timeout:

json
{
  "status": "Tool call has timed out!",
  "filename": "/abs/path/to/proofs",
  "result": "TIMEOUT ERROR!"
}

Directory not found or no YAML files:

json
{
  "status": "Tool call cannot find the file based on the filename!",
  "filename": "/abs/path/to/proofs",
  "result": "FILE NOT FOUND!"
}

Tests

The test suite is intentionally sequential.

Run all tests:

bash
PYTHONPATH=src /home/brosnan/symbolic_math_mcp/.venv/bin/python tests/run_tests_sequentially.py

The integration test starts a real stdio MCP server subprocess and validates:

Codex Config

code
[mcp_servers.symbolic_math_mcp]
url = "http://localhost:8753/mcp"

[mcp_servers.symbolic_math_mcp.tools.check_symbolic_math]
approval_mode = "approve"

[mcp_servers.symbolic_math_mcp.tools.check_symbolic_math_parallel]
approval_mode = "approve"

Frequently asked questions

What is symbolic_math_mcp?

symbolic_math_mcp is MCP server for symbolic math derivation, calculation, and verification

How do I install symbolic_math_mcp?

Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

Is symbolic_math_mcp open source?

Yes — it is hosted on GitHub at https://github.com/BrosnanYuen/symbolic_math_mcp and has 1 stars.

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