"Target" matching MCP servers:

A local MCP memory server for Kiro CLI that provides persistent semantic memory across sessions using SQLite for storage, Ollama for local vector embeddings, and Obsidian as a human-readable sync target.

Enables AI assistants to query and retrieve a structured professional profile, including expertise areas, CV, projects, active research, and target AI queries, through dedicated MCP tools and resources.

Enables a local-first MBA recruiting coach inside Claude that remembers your campaign, tracking target firms, live job boards, deadlines, applications, connections, and warm intros, while drafting human-approved outreach and never submitting applications or scraping LinkedIn.

Enables searching and retrieving cancer-genomics projects, cases, and genomic data files — including TCGA, TARGET, and CPTAC — via keyless, open-access metadata tools. Supports filtering by primary site, project, or data category, and can route plain-English questions to the right tool automatically.

Enables passive reconstruction of an application's HTTP endpoints, WebSocket/event surfaces, payload schemas, and process architecture purely by observing labeled traffic, logs, and process metadata — never by sending requests to the target. Findings carry evidence levels and confidence, and can be exported as OpenAPI, AsyncAPI, JSON Schema, protocol catalogs, architecture maps, and candidate MCP capability surfaces.

Enables AI agents to search through Memex conversation history and local project files to retrieve specific commands, code snippets, and technology overviews. It utilizes smart context management and faceted filtering to provide relevant search results without causing context overload.

Provides a read-only interface to audit and continue coding agent sessions by extracting plans, intents, and edit authorship from history across multiple agents (Claude, Codex, OpenCode, Antigravity, Pi) via MCP, CLI, and Python SDK.

An MCP server providing an append-only, hash-chained evidence ledger for agent actions, where every record is a tamper-evident receipt cryptographically bound to all prior records and persisted as human-readable JSONL local state. It exposes tools to append records, verify chain integrity (pinpointing tampering), query records by actor/action/target/time, and fetch ledger stats—with no update or delete capabilities by design.

Turns a build or audit target into a graph of claims that a coding agent must decompose and verify bottom-up against evidence, with judgments pinned to git commits and file hashes and findings recorded as issues on the claims they refute. It keeps an append-only, replayable record of every operation, exposes the standing and frontier of the work, and flags stale judgments when cited code changes.