ILSpy-Mcp
ILSpy MCP Server is a Model Context Protocol (MCP) server that lets an AI assistant decompile and analyze .NET assemblies using ILSpy. It supports operations such as decompiling assemblies/types/members, listing and searching types, and analyzing type relationships/hierarchies, intended to be used by MCP-compatible clients.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
README claims operations are read-only, with assembly path validation and timeout/cancellation support. However, there is no explicit authentication/authorization model described, and no details on TLS (suggesting local transport or unspecified network security). As a decompiler, outputs may expose sensitive code if pointed at confidential assemblies.
⚡ Reliability
Best When
You want an agent-driven, read-only decompilation assistant for local .NET assemblies and you can connect an MCP-capable client to run it.
Avoid When
You need strong enterprise security controls (auditing, fine-grained authorization, secret management guarantees) or you require a standardized network API with OpenAPI/SDKs.
Use Cases
- • Decompiling .NET assemblies to inspect methods and types
- • Searching for members by name within an assembly
- • Reviewing type hierarchies and relationships for code archaeology
- • Assisting debugging and reverse-engineering workflows in .NET
Not For
- • Applications requiring authenticated multi-tenant access control
- • Writing/modifying assemblies or performing any state-changing operations
- • Use cases needing an HTTP/REST API contract or public SDKs
Interface
Authentication
README does not describe authentication/authorization; implies operations are for a local user/client context rather than a network service with auth.
Pricing
No pricing information provided in the supplied README/metadata.
Agent Metadata
Known Gotchas
- ⚠ Assembly file path handling/validation may require careful input formatting; invalid paths could fail requests.
- ⚠ Decompilation/search can be compute-heavy for large assemblies; agents should avoid overly broad queries.
Alternatives
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Scores are editorial opinions as of 2026-03-30.