Featured

Deploy OpenClaw in 60 seconds — 20% off logoDeploy OpenClaw in 60 seconds — 20% off

Launch OpenClaw on Hostinger in about 60 seconds and keep your agent live 24/7. Our referral link gives you 20% off, no coupon code needed.

Launch on Hostinger
Run your Hermes agent on Hostinger, fully managed logoRun your Hermes agent on Hostinger, fully managed

Launch Hermes on Hostinger in one click, fully managed, no VPS knowledge needed. Use code ZACAARON10 for 10% off.

Launch on Hostinger
Crawl and scrape any site into clean data, 10% off logoCrawl and scrape any site into clean data, 10% off

Firecrawl crawls and scrapes any site into clean markdown for your agent. Get 1,000 free credits, and new users get 10% off their first purchase.

Try Firecrawl free
Your own AI agent, running 24/7 with QwikClaw logoYour own AI agent, running 24/7 with QwikClaw

QwikClaw sets up and runs an always-on OpenClaw agent for you. One click, no config files, no server setup.

Deploy now
One API to scrape, enrich, and extract the internet. logoOne API to scrape, enrich, and extract the internet.

Context.dev gives your agents a single API to scrape, enrich, and extract live web data — no proxies, no parsers, no maintenance.

Start building free
SetupClaw: done-for-you OpenClaw for founders & exec teams logoSetupClaw: done-for-you OpenClaw for founders & exec teams

White-glove OpenClaw for founders and exec teams (4–50+ employees): we install, harden, integrate your tools, and maintain it — secured from day one.

Get it set up for you
SEO data APIs for your agent, $1 free credit logoSEO data APIs for your agent, $1 free credit

DataForSEO gives your agent live access to SERP results, keyword data, backlinks, and on-page SEO data through one API. New accounts get a $1 credit, good for up to 20,000 keyword or backlink lookups.

Try DataForSEO free
Reach 47,000+ AI builders

A flat monthly placement in front of developers actively installing AI tools. No lock-in, cancel anytime.

Advertise here

Works with

Claude CodeClaude DesktopCursorVS CodeClineCodex CLIOpenClaw+ any MCP client

Install to Claude Code

This server doesn't publish a one-line install command. Follow the setup in the source repository.

Summary

Token-efficient .NET codebase context for AI coding agents: skeleton, scoping, change-aware fusion.

README.md

<!-- mcp-name: io.github.Litenova-Solutions/fuse -->

<p align="center"> <img src="assets/fuse-icon.svg" alt="Fuse" width="72" height="72"> </p>

<p align="center"> <a href="https://github.com/Litenova-Solutions/Fuse/actions/workflows/ci.yml"><img src="https://github.com/Litenova-Solutions/Fuse/actions/workflows/ci.yml/badge.svg?branch=main" alt="CI"></a> <a href="https://www.nuget.org/packages/Fuse"><img src="https://img.shields.io/nuget/v/Fuse.svg?label=NuGet" alt="NuGet version"></a> <a href="https://www.nuget.org/packages/Fuse"><img src="https://img.shields.io/nuget/dt/Fuse.svg?label=downloads" alt="NuGet downloads"></a> <a href="LICENSE"><img src="https://img.shields.io/github/license/Litenova-Solutions/Fuse" alt="License"></a> </p>

Fuse

Fuse is a local .NET tool with a persistent syntax index, typed-graph wiring resolution on demand, reduced task-scoped source, and pre-write compiler verification for coding agents. It stores repository facts in .fuse/fuse.db and reuses them across agent turns instead of rediscovering the same structure through repeated file reads and text searches.

From a .NET project inside a Git repository:

dotnet tool install -g Fuse
fuse mcp install

The installer supports Claude Code, Cursor, GitHub Copilot, OpenCode, Kilo Code, Codex, and Grok Build. Use --client <name> to configure one client; the default all configures all seven for the selected scope. fuse mcp install writes MCP registration and a short, versioned managed block in the client's documented instruction file, such as AGENTS.md or CLAUDE.md. Pass --no-rules to register MCP without the managed block. --with-hooks separately writes project-scoped Claude Code hooks. Run fuse mcp doctor after installation to inspect registration, managed guidance, daemon reachability, and index state. See Connect your coding agent for the exact file and scope matrix.

Reload your MCP client, then ask:

Resolve IOrderService to its implementation, then check the proposed OrderService.cs edit
with fuse_check before writing it.

When the MCP server starts, its shared local daemon owns one index job for the repository. A cold read starts a syntax index and reports its job state. Run fuse index to render progress in a terminal, fuse index --semantic for explicit compiler analysis, and fuse index status or fuse index cancel to control the job. The installer adds .fuse/ to .gitignore at project scope.

Every MCP operation except fuse_reduce requires a Git repository identity. Fuse walks upward to the nearest .git directory or file, so a call from a nested source or output folder uses the same repository-root daemon, lock, and index. A non-Git folder returns workspace_identity_unresolved: without starting a daemon or writing an index; fuse_reduce remains available. Each warm index records its repository root and complete file inventory. A missing or incomplete manifest rebuilds automatically even when the database already contains file rows.

<p align="center"> <img src="assets/demo/fuse-check-demo.gif" alt="An agent proposes an edit with an invalid OrderOptions member. fuse_check returns CS1061 and a repair packet, then verifies the corrected proposal." width="820"> </p>

Analysis runs locally and can work offline. Fuse walks a typed graph of DI registrations, handlers, routes, and callers, emits reduced source for a selected scope, and lets a coding agent typecheck proposed single-file content before writing it. No model is required. The optional update check can contact NuGet, and build-grade operations can use the package feeds configured for the repository.

Persistent Discovery and Reduced Context

Coding agents can inspect a repository through file reads, grep, and regex. On a large solution, those operations can rediscover the same symbols, references, registrations, and project structure across several turns. Fuse performs that discovery through MSBuild and Roslyn, persists the result, and incrementally re-indexes files as they change.

When a project loads semantically, the graph records DI registrations, request handlers, routes, options bindings, and call edges. When it does not, Fuse falls back to syntax-level indexing for that project and reports the mode.

  • Resolve wiring. fuse_find traces a service, request, route, or configuration

section to the code that handles it. Text search finds IOrderService; Fuse follows the registration to the implementation that runs.

  • Pack branch context. fuse_review seeds on the git diff and returns related callers,

handlers, and tests with provenance. On 69 recorded pull requests the median response was 1,026 tokens at 93.4 percent precision (review.json).

  • Return less source. fuse_context reduces the selected files under a token budget

and records why each file was included. Across four recorded repositories, skeleton reduction removed 38 to 44 percent of tokens while retaining every measured public and protected type name (reduce.json).

  • Read warm. On the recorded NodaTime run (semantic tier, 14,760 symbols), exact

symbol lookup took 1.8 ms at the median, task localization 15.7 ms, and review planning 106.3 ms (performance.json; timings are environment-dependent).

<p align="center"> <img src="assets/fuse-typed-wiring.svg" alt="Fuse resolves an interface through dependency injection registration to its concrete implementation and related callers." width="820"> </p>

Compiler Checks and Change Verification

  • fuse_check checks the proposed content of one file and returns compiler diagnostics

without changing the working tree. Oracle grade reuses compiler state captured from the real build. Build grade runs a scoped dotnet build for the owning project when captured state is unavailable. Supported API-shape errors can include a repair packet; in the recorded run, the top suggestion repaired 20 of 20 near-miss member and type errors (diagbench.json).

  • Before changing a public method, fuse_impact finds callers, implementations, and

referencing types. Given a package id and two versions, it returns the break set for that NuGet upgrade.

  • When a signature must change, fuse_refactor stages the refactor as a diff and

returns it only when the compiler reports no new diagnostic.

  • After an edit, fuse_test selects and runs the test types that reach the changed

symbol, grouped by owning project, instead of starting with the whole suite.

Every answer names how it was produced. Fuse calls this the verification grade: oracle grade checks against the compilation captured from the real build, build grade runs a scoped dotnet build, and when neither compiler path can answer, Fuse abstains and names the missing prerequisite instead of guessing.

What the Recorded Results Cover

Every result below comes from tests/benchmarks/results and has a reproduction command on the benchmarks page.

  • Across 1,000 compiler-labeled edits in the recorded OrderingApp test app (500 breaking,

500 neutral), fuse_check reported zero broken edits as clean and rejected zero valid edits (checkgate.json).

  • In the same app, Fuse matched all 24 expected .NET wiring links with no extra matches

(semantics.json).

  • Across 69 real pull requests, branch review retained every git-changed file by

construction at 93.4 percent precision with a median size of 1,026 tokens (review.json).

  • In the reduced-scope agent-loop run, the Fuse arm's edits passed the project's own

tests on the first attempt in 89 percent of scored rollouts versus 82 percent for native tools, with overlapping confidence intervals. The Fuse arm declared success on a failing edit 8 times versus 9 for native. Build and test calls were essentially equal at 3.1 versus 3.2 (loop.json).

  • Across four recorded repositories, skeleton reduction removed 38 to 44 percent of

tokens while keeping every public and protected type name and 96.3 to 99.4 percent of method names (reduce.json).

The opt-in resident workspace answered repeated fuse_check calls in 31.2 ms at the median on the recorded NodaTime run (resident-latency.json). That path is faster than a full build for speculative checks; it does not replace normal builds or tests before merge.

These measurements have defined limits. Read the full methods and results before comparing tools or applying the figures to another repository.

Local and Write-Safe

Fuse reads source, compiler state, git metadata, and its local .fuse/fuse.db index. Read, check, impact, refactor, and review operations do not write the working tree. fuse_workspace with action=apply is the one explicit tree-write path, and it is a dry run unless write=true.

Compiler-backed wiring analysis is .NET-only. Other languages receive syntax-level search and reduction.

Related Code-Intelligence Tools

Repository indexes, code graphs, and language-server tools already exist. CodeGraphContext provides a local multi-language graph, Serena exposes language-server-backed symbol tools, and Sourcegraph covers multi-repository search and code intelligence. Fuse concentrates on local .NET work through MSBuild and Roslyn: framework wiring, reduced scoped context, compiler-backed proposed-file checks, change impact, and covering-test selection. It can run alongside the index or search built into a coding client.

The peer comparison records a bounded, dated experiment and its sampling limits. It is not a general ranking of code-intelligence tools.

Start Here

Apache 2.0. Copyright (c) 2026 Litenova Solutions. See LICENSE and NOTICE.

See related servers & alternatives →

Related MCP servers

Browse all →

Related guides

Hand-picked reading to help you choose and use Developer Tools servers.