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MCP server exposing Z3 solver API for creating variables, adding constraints, and solving SMT problems with optimization support.
MCP server exposing Z3 solver API for creating variables, adding constraints, and solving SMT problems with optimization support.
MCP server exposing Z3 solver API
pip install mcp-z3-prover
from mcp_z3_prover import mcp
# Run the server
mcp.run()
Or from command line:
mcp-z3-prover
The server exposes the following tools:
# Create variables
create_int_var("x")
create_int_var("y")
# Add constraints
add_constraint("int:x + int:y == 10")
add_constraint("int:x > 0")
add_constraint("int:y > 0")
# Solve
result = solve()
# Returns: {"status": "sat", "model": {"x": "5", "y": "5"}}
# Get specific values
x_val = get_model_value("int:x")
# Factor n = 4295229443 where n = p * q with q <= sqrt(n)
create_int_var("p")
create_int_var("q")
# Add constraints
add_constraint("int:p * int:q == 4295229443")
add_constraint("4295229443 > int:p")
add_constraint("4295229443 > int:q")
add_constraint("int:q <= 65537") # sqrt(4295229443) ≈ 65537
add_constraint("int:q > 1")
add_constraint("int:p > 1")
add_constraint("int:q % 2 != 0") # q is odd
add_constraint("int:p % 2 != 0") # p is odd
# Solve
result = solve()
# Returns: {"status": "sat", "model": {"p": "65539", "q": "65537"}}
# Verification: 65537 * 65539 = 4295229443
git clone https://github.com/daedalus/mcp-z3-prover.git
cd mcp-z3-prover
pip install -e ".[test]"
# run tests
pytest
# format
ruff format src/ tests/
# lint
ruff check src/ tests/
# type check
mypy src/
mcp-name: io.github.daedalus/mcp-z3-prover
Run in your terminal:
claude mcp add mcp-z3-prover -- npx Security
Low riskAutomated heuristic from public metadata — not a security guarantee.