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Local compiler-backed verification and typed .NET wiring for AI coding agents. Typecheck proposed edits, compute change impact, run covering tests, and stage verified refactors. Persistent scoped context supports these outcomes.
Typecheck your AI agent's .NET edits against the compiler before they land.
Website . Documentation . Connect your agent . Benchmarks
Fuse is a Model Context Protocol server that connects your AI coding agent (Claude Code, Cursor, GitHub Copilot) to the .NET compiler. It typechecks a proposed edit before the agent writes it (fuse_check), computes the blast radius of a change (fuse_impact), stages compiler-executed refactors as diffs that compile or are not handed over (fuse_refactor), and resolves how the code is actually wired (which service implements an interface, which handler runs a request, which action a route hits) from a Roslyn graph rather than file names and grep. Every answer carries a grade so the agent knows what it is trusting, and Fuse abstains when it cannot answer at compiler grade. Scoped, reduced context and ranked retrieval are the supporting machinery that feed those answers. The same engine is also a fuse CLI.
Full documentation: fuse.codes. Contributors and roadmap planners: see briefing.md for architecture, benchmark evidence, and plan history.
Fuse is a .NET developer tool, so the recommended install is the .NET global tool (.NET SDK 10.0 or later):
dotnet tool install -g Fuse
Or run it on demand without installing: dnx Fuse -- serve. No SDK? Install a self-contained binary (the .NET runtime is bundled):
curl -fsSL https://fuse.codes/install.sh | sh # Linux / macOS
irm https://fuse.codes/install.ps1 | iex # Windows PowerShell
On Windows: winget install Litenova.Fuse, or grab a binary from Releases. Verify with fuse --help. Full notes: fuse.codes/docs/start/install.
Register Fuse once; your client launches fuse mcp serve automatically when MCP is enabled:
fuse mcp install --rules
That writes MCP config for Claude Code, Cursor, and GitHub Copilot in the current project, and --rules adds a short instruction so the agent reaches for the fuse_* tools instead of grepping blindly. Use --scope user for every project on the machine, or --client cursor for one client.
Prefer to wire it by hand? The MCP server config is the same shape everywhere:
{
"mcpServers": {
"fuse": {
"command": "fuse",
"args": ["mcp", "serve"]
}
}
}
Put it in .mcp.json (Claude Code), .cursor/mcp.json (Cursor), or .vscode/mcp.json (Copilot); any MCP client uses the same command and args. The Claude CLI shortcut is claude mcp add fuse --scope project -- fuse mcp serve. Both surfaces are covered in Connect your agent.
Fuse exposes verbs an agent uses while it works. The ones that carry the identity verify and scope a change:
# Check an edit against the compiler before writing it (oracle-grade, or it abstains)
fuse_check file="OrderService.cs" content="<proposed edit>"
-> CS1061 at OrderService.cs:41: 'Order' has no member 'TotalAmount'
repair packet: 'Total' exists on Order; 'TotalAmount' does not
grade: oracle
# Blast radius: what a signature change breaks, before touching it
fuse_impact symbol="IBasketService.Checkout"
-> callers, implementers, referencing types from the typed graph
# Resolve .NET wiring: which implementation does the container give for IBasketService?
fuse_find kind="service" query="IBasketService"
-> BasketService (src/ApplicationCore/Services/BasketService.cs)
edge: di_resolves_to (registered services.AddScoped<IBasketService, BasketService>())
# Scope a change: the blast radius of a branch, packed under a token budget
fuse_review changedSince="main"
-> changed files + support files (the interface a changed type implements, its consumers)
100% of changed files kept, ~1,026 tokens median, with provenance for each file
The rest of the surface, by what an agent does with it:
| Verb | What it does |
|---|---|
fuse_workspace | Status and lifecycle: index mode and verify grade (status), build or refresh (index), symbols/routes/counts (map), per-project load diagnosis (doctor), and the one explicit tree-write path (apply). The cheap first call. |
fuse_find | The find union: exact symbol/path/text lookup; resolve wiring (service, request, route, config); a symbol's exact signature; its callers and implementers; or rank candidate files for a task (refuses and hands back a map when the task names no code). |
fuse_check | Typecheck a proposed single-file edit against the build-captured compilation; repair packets on API-shape errors. Oracle-grade, build-grade, or abstains. |
fuse_impact | Blast radius for a symbol: callers, implementers, referencing types from the typed graph; also a NuGet upgrade break set. |
fuse_test | Run the covering tests for a symbol, scoped by filter so the whole suite never runs. |
fuse_refactor | Compiler-executed, verify-gated refactors staged as a diff: rename, change-signature, extract-interface, move-type, apply-codefix. |
fuse_review | Diff-first semantic impact and packed context for a change, with the public API delta and a PR handoff packet. |
fuse_context | Emit scoped, reduced source (with provenance) for selected seeds. |
fuse_reduce | Compact a known set of files or raw content. |
Tool parameters and the full catalog: MCP Tools.
Fuse is judged as a compiler-grade semantic engine: can it verify an edit honestly, resolve .NET wiring, scope a change precisely, help an agent, and stay honest on a vague query. Every figure below is recorded under tests/benchmarks/results and reproduced with fuse eval <suite>; the full methodology and the modes where Fuse is weak are on the benchmarks page. Numbers come from a fixed set of 24 real open-source .NET libraries pinned by commit, with the eShopOnWeb application as a supplementary run.
fuse_check had zero false green and zero false red. Reproduce with fuse eval checkgate --mutations 500. (checkgate.json)FUSE_LOOP_RUN=1 fuse eval loop. (loop.json)FUSE_RESIDENT=1, environment-dependent), speculative checks answered at P50 31.2 ms and P95 42.4 ms at NodaTime scale. Reproduce with fuse resident-latency <path>. (resident-latency.json)semantics.json)fuse review keeps 100% of changed files at 93.4% precision in a median 1,026 returned tokens. A grep baseline reaches 67% recall at 8% precision. (review.json)fuse localize recalls 37.7% of changed files: the weakest mode, reported straight. On no-signal titles, Fuse refuses and hands back a navigation map instead of guessing. (localize.json)agent.json)reduce.json)No head-to-head ranking against other tools is claimed here; the measured peer comparison (with the exact reproduction command and every caveat) lives on the benchmarks page.
The same engine runs as a CLI for one-shot context outside an agent:
fuse index ./src # build the semantic index
fuse localize ./src --task "discount rounding at checkout"
fuse reduce --files src/Program.cs --level skeleton
Output and option lists: Commands and Quickstart.
The planned direction is the Roadmap; shipped work is the Changelog.
src/
Core/ Pipeline and engine: Fuse.Collection, Fuse.Reduction, Fuse.Emission,
Fuse.Fusion, plus the semantic stack (Fuse.Indexing, Fuse.Semantics,
Fuse.Retrieval, Fuse.Context).
Host/ Fuse.Cli: the CLI commands and the MCP server.
Plugins/ Extension-keyed providers: Abstractions, Languages.CSharp,
Languages.CSharp.Roslyn, Formats.Web.
tests/ Unit, golden-output, and integration tests; benchmarks under tests/benchmarks.
site/ The fuse.codes website and documentation (Next.js + Fumadocs).
assets/ The benchmark figure and its chart-generating script.
mcp-registry/ MCP Registry server manifest.
dotnet build Fuse.slnx --configuration Release
dotnet test Fuse.slnx --configuration Release --no-build
dotnet format Fuse.slnx --verify-no-changes
Contribution workflow: Contributing. Durable project context for contributors and agents: AGENTS.md. The docs site is in site/.
Apache 2.0. Copyright (c) 2026 Litenova Solutions. See LICENSE and NOTICE.
FAQs
Local compiler-backed verification and typed .NET wiring for AI coding agents. Typecheck proposed edits, compute change impact, run covering tests, and stage verified refactors. Persistent scoped context supports these outcomes.
We found that Fuse demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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