"Semantic Search API Solutions" matching MCP servers:

Local MCP server that manages a job search using Markdown files, enabling skills tracking, gap analysis, and offer pipeline management via Claude.

MCP server for Jira Cloud that lets AI agents search, read, and write Jira issues using your own Atlassian account and API token, with write operations gated behind explicit opt-in.

Exposes a Notion-synced AI OS as read-only MCP tools, enabling MCP-compatible AI clients to search the vault, fetch page contents, list projects, and check project statuses without scraping public links.

A shared coordination layer for multiple AI coding assistants, exposing a persistent task queue, per-task message threads, and progress tracking via JSON files on disk.

Connects Claude and other MCP-compatible AI assistants to the AI Bounty Board, enabling natural language discovery, claiming, and submission of bounties.

Persistent memory MCP server for Claude Code, Cursor, and GitHub Copilot. Semantic search, Git sync, project-based, Persistent memory MCP server for Claude Code, Cursor, and GitHub Copilot. Semantic search, Git sync, project-based organization, and team collaboration via Model Context Protocol.

Enables Claude to interact with Jira, Salesforce, and n8n through MCP tools, allowing automated reading of Jira stories, deploying Salesforce metadata, and triggering n8n workflows.

An MCP server that talks directly to Jira Cloud REST API v3 using static credentials and exposes tools for discovering customfield IDs, resolving account IDs, and updating issue fields including ADF JSON.

AI job search and job application tracker. Search live jobs by title, location, salary, date posted, and remote or on-site, and see each one checked on real data: pay against market rates, ghost-job signals, visa sponsorship history, and how well it matches your resume. Check how hiring software reads your resume, track applications, set follow-up reminders, and get email alerts.

Enables AI assistants to coordinate with teammates and agents via Clink, supporting group management, clinks, milestones, projects, and voting.

Enables AI assistants to manage Tempo timesheets and perform write operations such as create, update, delete, submit, approve, reject, reopen, and recall, with user confirmation safeguards.

Provides read-only access to JIRA REST API, enabling LLMs to query and retrieve information from JIRA instances.

Integrates MantisBT bug tracker into Claude and other MCP clients via the REST API. Read and manage issues, notes, file attachments, tags, relationships, and monitors — with optional offline semantic search across all issues.

MCP server enabling AI assistants to connect to Kula recruiting API for managing jobs, candidates, applications, webhooks, and more.

Enables MCP clients to discover and execute 172 ClickUp API v2 and v3 operations using a personal API token, covering tasks, Workspaces, Spaces, Folders, Lists, comments, custom fields, time tracking, webhooks, Docs, and Chat. Includes read-only mode and attachment uploads, with separate tools for searching operations, inspecting schemas, and running read or write calls.

Exposes 16 local stdio MCP tools that give Codex-style clients project-isolated persistent memory, local ONNX-based semantic search, and durable task tracking that survives across sessions and concurrent clients, without executing agents, hosting a model, or contacting model providers.

MCP server for JIRA Cloud REST API v3, enabling issue search, creation, updates, comments, and transitions.

Enables search and management of Azure DevOps work items and wiki pages via MCP, wrapping the ado-search CLI.

A server that enables AI assistants to interact with Linear's project management tools through the Model Context Protocol, supporting features like searching, creating, and updating issues, adding comments, and retrieving user profiles and team information.

Enables running Jira project health audits directly in Claude Desktop, providing real-time health scores, risk detection, and team workload analysis through natural language.

Bridges Motion's API with LLMs to manage tasks, search projects, check schedules, and more through natural conversation.

Enables AI clients to create and manage tasks via a local REST API by converting natural language into HTTP requests through the Model Context Protocol.

Enables AI assistants to automatically log and manage conversation history with developers in structured markdown format. Provides powerful search and context suggestions to help AI understand project history and maintain continuity across sessions.

Enables MCP-compatible clients to manage AI agent teams, including agents, Kanban issues, projects, goals, approvals, budgets, and raw API access.

Enables MCP clients to search and execute 360 operations across Holded's accounting, sales, inventory, contacts, CRM, projects, team, calendar, inbox, and developer APIs. Supports read and write calls with an API key, including a read-only mode.

Connects AI assistants to GLPI service desks so they can manage tickets, ITIL objects (problems and changes), assets, knowledge base articles, users, rules and webhooks through natural language. Works with GLPI 10 and 11 via REST API v1 and the GLPI 11 API v2, with read-only and delete guards, idempotent creates, and support for both local (stdio/HTTP) and hosted OAuth deployments.

MCP server that exposes the V-Track project management API as tools for AI assistants, enabling interaction with projects, tasks, issues, sprints, and more.

Exposes the 个人管家 app's purchasing, expense, todo, project, budget, and analytics data as MCP tools so agents can read and manage records through the app's authenticated business APIs. Each installation logs in with its own account, stores credentials locally, and supports per-install revocation.

An MCP server that connects to Backlog API, providing functionality to search, retrieve, and update issues through natural language commands.

A TypeScript-based REST API that integrates project and task management with MCP (Model Context Protocol), allowing users to manage projects and tasks through natural language interactions.

MCP server enabling interaction with ServiceNow API for managing incidents, CMDB, change management, and other ServiceNow operations via natural language.

A structured project memory MCP server that persists plans, builds, reviews, and decisions across AI coding sessions and tools, enabling continuous project management with a dashboard.

Provides access to Autodesk Platform Services API, enabling interaction with ACC projects and issues through natural language.

MCP server for job search and application tracking, enabling AI agents to search jobs, get details, manage applications, and find contacts across 128K+ jobs and 1,900+ companies.

Exposes task and note management, focus-plan creation, and daily workspace summaries as MCP tools over Streamable HTTP for compatible clients.

MCP server and CLI tool for interacting with Kaiten project management API, optimized for token efficiency. Enables AI assistants to search, create, update, and manage tasks with minimal token usage.

Enables AI assistants to manage Paperclip AI agents, issues, goals, approvals, and costs via natural language by exposing Paperclip's REST API as MCP tools.

Enables integration with Planfix CRM and task management system, allowing lead management, contact/company management, task creation/search/commenting, and report generation via the Planfix REST API v2.0.

Provides structured task planning and tracking capabilities with 40 tools for managing requirements, solutions, architectural decisions, and hierarchical implementation phases with progress tracking.

Enables MCP-capable AI assistants to search and retrieve past Jira issues, resolutions, and recurring topics from a fully local embedded knowledge base using hybrid semantic and keyword search.