AppealBase™
by AppealBase™ (Community)
Description
AppealBase helps planning professionals search and inspect planning appeal decisions made in England. Users can list appeals decided on a date or date range, search decision text by topic and filters, then retrieve full decision text for detailed analysis and citation.
Capabilities
No special capabilities listed
AI Agent Discovery
AppealBase™ is indexed by Tedix as a structured ai application listing for AI assistants, search crawlers, and users comparing agent-ready apps.
- AppealBase™ is categorized as AI application.
- Developer: AppealBase™.
- Connector type: AI-Powered App.
- Current connector status: Connected.
- Observed distribution channels: chatgpt.
- Available regions: GB.
Use this page to understand whether AppealBase™ is relevant for ai application workflows in AI assistants.
For MCP discovery, this listing helps crawlers connect AppealBase™ to tool, resource, prompt, and server-health signals instead of treating it as a generic directory entry.
The canonical Tedix directory URL is https://tedix.dev/apps/appealbase/.
Crawlable Profile
Source and availability
Tedix identifies AppealBase™ from Upstream Mcp tool source; Store sources: ChatGPT app store; Distribution: Ecosystem Directory. Availability is reported for GB.
- ChatGPT app store Auth required · RELEASED · GB
Auth, tools, and actions
Authentication: Requires Login. No special capability flags are currently listed. Current MCP inventory reports 3 tools, 0 resources, and 0 prompts.
- Get appeal full text · App action
Full decision text and metadata for one appeal by 7-digit reference (e.g. 3000123). Use after search_appeals or list_appeals, or when the user gives a reference. Chunk long decisions with chunk_size and chunk_index.
- List appeals by date · App action
List UK planning appeals (England) decided on a specific date or within a decision-date range. This is for enumerating appeals, not searching decision text — use search_appeals for topics, keywords, or precedent research. Use decision_date (single day YYYY-MM-DD), or date_from + date_to, or date_preset. Paginate while totalPages > page.
- Search planning appeals · App action
Full-text search UK planning appeals (England) with optional metadata filters. Returns summaries/snippets; use get_appeal_full_text for full decision text. query_mode: simple (default), websearch, or structured_boolean (must_include / any_of / must_exclude). Paginate when totalPages > page.
Verification freshness
- Catalog synced 11h ago (June 6, 2026)
- Connector checked 6d ago (May 31, 2026)
- MCP scanned 6d ago (May 31, 2026)
- Directory updated 11h ago (June 6, 2026)
Publisher Intelligence
Insights and recommendations for app publishers. See how your app performs and how to improve discoverability.
Server Status appealbase-mcp-server v1.1.0
https://www.appealbase.com/api/mcp Last checked: 6d ago
Technical Details
Tools(3)
Showing 3 of 3 tools
| Tool | Description | Flags | Test | Last Tested | |
|---|---|---|---|---|---|
get_appeal_full_text | Full decision text and metadata for one appeal by 7-digit reference (e.g. 3000123). Use after search_appeals or list_appeals, or when the user gives a reference. Chunk long decisions with chunk_size and chunk_index. | — | 0%Latency 365ms | 6d ago | |
list_appeals | List UK planning appeals (England) decided on a specific date or within a decision-date range. This is for enumerating appeals, not searching decision text — use search_appeals for topics, keywords, or precedent research. Use decision_date (single day YYYY-MM-DD), or date_from + date_to, or date_preset. Paginate while totalPages > page. | — | 0%Latency 320ms | 6d ago | |
search_appeals | Full-text search UK planning appeals (England) with optional metadata filters. Returns summaries/snippets; use get_appeal_full_text for full decision text. query_mode: simple (default), websearch, or structured_boolean (must_include / any_of / must_exclude). Paginate when totalPages > page. | — | 0%Latency 113ms | 6d ago |
Discoverability Score
Fair
57 of 100 — how easily AI agents find your app
- Description quality20/20
- Example prompts0/20
- Keyword coverage0/15
- Tool metadata16/20
- Visual assets8/20
- Endpoint health10/10
- Data freshness15/15
How to Improve
Add at least 2 example prompts. Prompt examples strongly improve app matching and click-through intent.
Increase keyword coverage (discovery + trigger) to improve retrieval for long-tail queries.
Add at least 2 screenshots that show real workflows to increase confidence and conversion.
Technical Details
- Status
- ENABLED
- Type
- AI-Powered App
- Auth
- Requires Login
- Listed on
- ChatGPT
- Added
- May 30, 2026
- Last synced
- 11h ago
- Last checked
- 6d ago
- Version
- 1.1.0
- Distribution
- Ecosystem Directory