"Accessing Jira Tickets and Updating Their State" matching MCP servers:

MCP server that scans multi-language codebases to detect stubs, missing imports, and structural incompleteness, assigning drift scores to quantify LLM context erosion.

Enables AI agents to analyze and diff binaries by driving Ghidra headless or inside its GUI, exposing native reverse-engineering tools such as listing functions and segments, searching strings, decompiling, disassembling, and following cross-references. Ships with a devcontainer and supports local stdio or remote HTTP deployment.

Enables MCP clients to load eight on-demand coding skills and inspect project repositories through bounded, read-only map, search, read, diff, checks, and style tools. It keeps context lean by loading skill bodies only when needed and limiting repository scan and output sizes.

Enables AI assistants to scan multiple services and local filesystems for leaked secrets using n0s1 secret-scanning capabilities.

MCP server for structured Laravel project planning. Scans projects, creates tickets, and exports as JSON.

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Integrates Jira and Sourcegraph, enabling LLMs to retrieve and comment on Jira issues and perform code searches using Sourcegraph.

Maintains a self-updating JSON index of repository files, functions, and descriptions so agents can query relevant files instead of grepping the tree.

Provides AI assistants with direct access to Laravel documentation, coding rules, and implementation templates stored locally. It enables searching documentation, retrieving design system guides, and accessing domain-specific code examples to streamline Laravel development.

Provides LLMs with live introspective access to a running Emacs instance to evaluate Elisp and inspect the internal environment. It enables tools for reading documentation, browsing Info manuals, querying completions, and accessing source code for functions and variables.

Reads a directory of projects and reports on their stack, git state, deployment targets, and monetization readiness.

Enables read-only MCP clients to list tracked projects, saved activity items, and persisted inspection overviews from Oculus.nvim's JSON state, including cached AI explanations and suggested patch locations. It does not modify Oculus state or require Neovim to be running.

Enables AI to precisely use local Vue components by extracting their Props, Events, and Slots via AST analysis.

Enables AI assistants to work with Chapel code, including compiling, linting, and accessing educational primers.

Provides AI agents with visibility into React applications by exposing tools to inspect component state, props, and performance metrics. It enables debugging and state analysis for both web and React Native applications through the Model Context Protocol.

Enables LLM-powered debugging with rr reverse execution, allowing record and replay of program execution via GDB/MI for forward and reverse state inspection.

Enables querying functions and their call relationships in frontend HTML inline scripts via indexgraph_node and indexgraph_explore tools.

A comprehensive MCP server that provides a graph database for tracking software codebase components, their relationships, and associated tasks/goals.

Enables AI assistants to read, analyze, edit, and create Alteryx workflows, including summarizing workflows, finding tools, editing configurations, updating SQL, managing connections, and building new workflows programmatically.

Provides persistent memory for coding agents and grounds their claims by verifying against the actual codebase, preventing hallucinated responses.

Provides MCP tools that help AI agents get their bearings in a codebase with unified SQL views over code, git, docs, and conversations, powered by DuckDB.

Enables to extract TypeScript methods, functions, and their relevant imports and class properties for code analysis, refactoring, and documentation.

Provides AI coding agents with fast, deterministic access to code graphs, knowledge lifecycle state, and cross-document symbol links, enabling compact context retrieval and seamless session handoffs.

Enables AI agents to generate and retrieve a contextual document for a git branch, summarizing repository state, changes, and freshness, so they can understand the branch without scanning the entire codebase.

Enables users to compress text, extract Python code signatures, hydrate saved session state, and save checkpoints, reducing token usage when handing context between models and agents.

Enables MCP clients to scan codebases, persist and prioritize security findings against SLAs, retrieve CVE details, propose fixes, and create tickets through its tools. It also supports agent-assisted remediation drafting while enforcing human approval and preventing auto-merge.

m1nd is a local MCP runtime that gives coding agents graph-native memory of a codebase: structure, docs, decisions, change impact, recovery state, and investigation continuity.

Enables agents to inspect Android APKs, device state, runtime behavior, resources, and native libraries locally, returning findings with supporting evidence, coverage, limitations, and unknowns.

A local-first MCP server that provides read-only access to Git repository history, exposing commit metadata and optionally content patches via configurable policies, with optional AI-powered analysis while never modifying Git state.

Enables MCP agents to extract every IPv4/IPv6 address, CIDR block, and MAC address from text, normalize and classify them by scope, and report ambiguous forms with their reasons.